Python 3.11.0 | packaged by conda-forge | (main, Jan 16 2023, 14:12:30) [MSC v.1916 64 bit (AMD64)]
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IPython 8.10.0 -- An enhanced Interactive Python. Type '?' for help.
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.setOffset()
dh1.setCATtiming()
dh1.setAllCAT(0.002)
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega10')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='cat_AOM_ampl')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
100%|██████████| 247/247 [00:03<00:00, 79.64it/s]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"CAT Amplituide = { df.iloc[10]['cat_AOM_ampl'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testCATrunMega1')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='cat_AOM_ampl')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
100%|██████████| 288/288 [10:29<00:00, 2.19s/it]
max_freqs = [384274.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"CAT Amplituide = { df.iloc[10]['cat_AOM_ampl'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
Pmeter = [2.25
,8.6
,18.65
,31.7
,45.8
,60.6
,71.4
,79.7
,86.1
,91.4
,95.7
,99.0
,101.7
,104.3
,106.5
,108.4
,110.2
,112.2
,114.0
,115.3]
pds = [
(-0.0145, 0.022),
(0.0575, 0.026),
(0.1775, 0.034),
(0.334,.044),
(0.512, 0.055),
(0.687, 0.067),
(0.838, 0.077),
(0.946, 0.084),
(1.035, 0.09),
(1.104, 0.094),
(1.156, 0.098),
(1.206, 0.101),
(1.239, 0.103),
(1.271, 0.105),
(1.303, 0.107),
(1.331, 0.109),
(1.357, 0.112),
(1.385, 0.113),
(1.405, 0.115),
(1.43, 0.117)]
x = np.linspace(0.0, 1.0, 21)[:-1]
fig, ax = plt.subplots()
ax.plot(x, pdCAT, 'bo-', label='PD CAT')
tax = ax.twinx()
tax.plot(x, Pmeter, 'r^-', label='Power (mW)')
ax.grid()
ax.legend(loc='upper left')
tax.spines['left'].set_color('blue')
ax.yaxis.label.set_color('blue')
ax.tick_params(axis='y', colors='blue')
tax.legend(loc='upper right')
tax.spines['right'].set_color('red')
tax.yaxis.label.set_color('red')
tax.tick_params(axis='y', colors='red')
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov = curve_fit(N, data_t, data_N, [0.1, 0.15, 0.2])
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov = curve_fit(N2, data_t, data_N, [0.1, 0.15, 0, 0.2])
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N2(t, *popt), '-')
# plt.show()
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. R = 0.050 +- 1.219e-09 Gamma = 0.163 +- 1.356e-08 N0 = 0.191 +- 2.679e-09 R = -0.032 +- 1.974e-07 Gamma = -0.431 +- 1.050e-05 beta = 1.067 +- 3.430e-05 N0 = 0.199 +- 3.135e-09
[<matplotlib.lines.Line2D at 0x1aab1a4ff50>]
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2])
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2])
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. R = 0.050 +- 1.219e-09 Gamma = 0.163 +- 1.356e-08 N0 = 0.191 +- 2.679e-09
c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\integrate\_odepack_py.py:248: ODEintWarning: Excess work done on this call (perhaps wrong Dfun type). Run with full_output = 1 to get quantitative information. warnings.warn(warning_msg, ODEintWarning)
R = -0.032 +- 2.131e-07 Gamma = -0.431 +- 1.134e-05 beta = 1.067 +- 3.703e-05 N0 = 0.199 +- 3.273e-09
[<matplotlib.lines.Line2D at 0x1aab28b9110>]
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[30], line 28 25 data_t = dh1.loadingTime - dh1.loadingTime.min() 26 data_N = dh1.loadingVoltage ---> 28 popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1) 31 print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}") 33 fitted_values = N(data_t, *popt) ValueError: too many values to unpack (expected 2)
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. R = 0.050 +- 1.219e-09 Gamma = 0.163 +- 1.356e-08 N0 = 0.191 +- 2.679e-09
c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\integrate\_odepack_py.py:248: ODEintWarning: Excess work done on this call (perhaps wrong Dfun type). Run with full_output = 1 to get quantitative information. warnings.warn(warning_msg, ODEintWarning)
R = -0.032 +- 2.131e-07 Gamma = -0.431 +- 1.134e-05 beta = 1.067 +- 3.703e-05 N0 = 0.199 +- 3.273e-09
[<matplotlib.lines.Line2D at 0x1aab8cb3c10>]
print(infodict, mesg, ier)
{'fvec': array([ 0.00070821, 0.00193474, 0.00102504, ..., -0.02544394,
-0.02452841, -0.02452841]), 'nfev': 52, 'fjac': array([[-1.58462395e+03, 3.15533535e-07, 6.31067069e-07, ...,
2.82762792e-03, 2.82762792e-03, 2.82762784e-03],
[-4.23825001e+01, -1.03452419e+02, 9.66607844e-03, ...,
-1.18571468e-03, -1.18571486e-03, -1.18571483e-03],
[ 4.59756793e+02, -3.02799153e+01, 2.24243171e+01, ...,
1.67003347e-03, 1.67003322e-03, 1.67003478e-03],
[ 1.34613414e+02, -1.60459935e+01, 1.24005906e+01, ...,
-1.38909042e-03, -1.38909072e-03, -1.38906873e-03]]), 'ipvt': array([1, 4, 2, 3], dtype=int32), 'qtf': array([-1.63301764e-06, -6.49932071e-07, 1.21157320e-05, -2.05726773e-05])} Both actual and predicted relative reductions in the sum of squares
are at most 0.000000 1
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. R = 0.050 +- 1.219e-09 Gamma = 0.163 +- 1.356e-08 N0 = 0.191 +- 2.679e-09 R = 0.028 +- 2.047e-07 Gamma = 0.000 +- 1.073e-05 beta = 0.293 +- 3.464e-05 N0 = 0.193 +- 4.400e-09
[<matplotlib.lines.Line2D at 0x1aab2874f90>]
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std)
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[34], line 28 25 data_t = dh1.loadingTime - dh1.loadingTime.min() 26 data_N = dh1.loadingVoltage ---> 28 popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std) 31 print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}") 33 fitted_values = N(data_t, *popt) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\optimize\_minpack_py.py:838, in curve_fit(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, full_output, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=835'>836</a> raise ValueError("`sigma` must be positive definite.") from e <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=836'>837</a> else: --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=837'>838</a> raise ValueError("`sigma` has incorrect shape.") <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=838'>839</a> else: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=839'>840</a> transform = None ValueError: `sigma` has incorrect shape.
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=sigma=dh1.std*np.ones(len(data_N)))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
Cell In[35], line 28 popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=sigma=dh1.std*np.ones(len(data_N))) ^ SyntaxError: invalid syntax
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)
from scipy.integrate import odeint
from scipy.optimize import curve_fit
def Nprime(N, t, R, Gamma):
return R - Gamma*N
def Nprime2(N, t, R, Gamma, beta):
return R - Gamma*N - beta*N**2
def N(t, R, Gamma, N0):
Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
return Nsol.ravel()
data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage
popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
# t, N(t, *popt), '-')
# plt.show()
fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))
print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f} +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")
fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)
fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))
plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}')
plt.plot(t,N2(t,*popt),'-r')
plt.legend()
frame1.set_xticklabels([])
plt.grid()
# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))
plt.plot(data_t,residuals,'or', ms=1)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. R = 0.050 +- 1.219e-09 Gamma = 0.163 +- 1.356e-08 N0 = 0.191 +- 2.679e-09 R = 0.028 +- 2.047e-07 Gamma = 0.000 +- 1.073e-05 beta = 0.293 +- 3.464e-05 N0 = 0.193 +- 4.400e-09
[<matplotlib.lines.Line2D at 0x1aabca61c10>]
dh1.initMOTR
0.013134674829377673
dh1.initMOTR, dh1.motR
(0.013134674829377673, 0.1632647677457613)
get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68161
Fitting ERROR at 17-56-41
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68161
Fitting ERROR at 17-58-10
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169
Fitting ERROR at 17-59-38
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-01-06
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68163
Fitting ERROR at 18-02-39
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-04-24
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-06-11
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112173 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-07-59
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112098 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-09-42
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112136 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-11-29
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68173
Fitting ERROR at 18-13-17
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68177
Fitting ERROR at 18-15-02
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112192 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-16-49
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68167
Fitting ERROR at 18-18-33
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112177 is out of bounds for axis 0 with size 68173
Fitting ERROR at 18-20-18
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112103 is out of bounds for axis 0 with size 68177
Fitting ERROR at 18-22-04
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112145 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-23-50
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-25-41
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112190 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-27-30
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112110 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-29-14
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-30-58
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-32-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112198 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-34-17
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-35-45
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-37-28
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-39-14
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112207 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-41-02
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-42-50
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-44-38
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-46-25
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-48-12
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112147 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-50-01
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-51-46
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-53-31
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-55-20
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68185
Fitting ERROR at 18-57-09
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112092 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-58-58
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112143 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-00-50
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-02-37
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112099 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-04-25
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-06-09
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-07-58
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-09-45
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-11-33
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112114 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-13-21
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-15-07
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-16-53
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-18-39
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112146 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-20-25
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-22-11
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-23-58
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112115 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-25-42
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68185
Fitting ERROR at 19-27-24
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-29-10
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112128 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-30-56
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-32-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-34-31
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68181
Fitting ERROR at 19-36-19
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112163 is out of bounds for axis 0 with size 68179
Fitting ERROR at 19-38-05
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-39-54
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-41-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68183
Fitting ERROR at 19-43-34
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-45-18
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112125 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-47-08
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-48-55
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-50-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112184 is out of bounds for axis 0 with size 68179
Fitting ERROR at 19-52-32
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68165
Fitting ERROR at 19-54-20
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68181
Fitting ERROR at 19-56-07
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-57-56
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112151 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-59-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112212 is out of bounds for axis 0 with size 68179
Fitting ERROR at 20-01-27
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68177
Fitting ERROR at 20-03-16
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112178 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-05-01
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112162 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-06-28
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-07-55
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-09-22
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-10-49
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-12-17
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-13-44
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68159
Fitting ERROR at 20-15-12
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-16-39
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112139 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-18-07
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112090 is out of bounds for axis 0 with size 68173
Fitting ERROR at 20-19-35
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-21-02
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112152 is out of bounds for axis 0 with size 68227
Fitting ERROR at 20-22-32
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112153 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-24-04
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-25-34
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-27-05
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-28-39
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68193
Fitting ERROR at 20-30-22
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112213 is out of bounds for axis 0 with size 68183
Fitting ERROR at 20-32-12
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112176 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-33-57
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68173
Fitting ERROR at 20-35-41
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68179
Fitting ERROR at 20-37-26
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112117 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-39-08
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112191 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-40-50
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-42-28
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-44-02
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-45-40
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-47-19
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-49-00
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-50-43
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-52-23
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112148 is out of bounds for axis 0 with size 68177
Fitting ERROR at 20-54-03
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112096 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-55-47
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112101 is out of bounds for axis 0 with size 68175
Fitting ERROR at 20-57-31
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112170 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-59-12
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68163
Fitting ERROR at 21-00-42
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112124 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-02-12
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112137 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-03-41
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68157
Fitting ERROR at 21-05-09
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112097 is out of bounds for axis 0 with size 68159
Fitting ERROR at 21-06-37
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68163
Fitting ERROR at 21-08-04
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-09-50
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68167
Fitting ERROR at 21-11-36
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-13-13
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-14-41
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-16-08
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68165
Fitting ERROR at 21-17-36
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-19-03
Traceback (most recent call last):
File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value
Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-19-03', '21-19-47')
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.setOffset()
dh1.setCATtiming()
dh1.setAllCAT(0.002)
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Failed fit at : 17-56-41
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Failed fit at : 17-58-10
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Failed fit at : 17-59-38
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Failed fit at : 18-01-06
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Failed fit at : 18-02-39
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Failed fit at : 18-04-24
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Failed fit at : 18-06-11
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Failed fit at : 18-07-59
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Failed fit at : 18-09-42
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Failed fit at : 18-11-29
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Failed fit at : 18-13-17
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Failed fit at : 18-15-02
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Failed fit at : 18-16-49
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Failed fit at : 18-18-33
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Failed fit at : 18-20-18
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Failed fit at : 18-22-04
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Failed fit at : 18-23-50
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Failed fit at : 18-25-41
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Failed fit at : 18-27-30
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Failed fit at : 18-29-14
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Failed fit at : 18-30-58
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Failed fit at : 18-32-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Failed fit at : 18-34-17
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Failed fit at : 18-35-45
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Failed fit at : 18-37-28
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Failed fit at : 18-39-14
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Failed fit at : 18-41-02
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Failed fit at : 18-42-50
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Failed fit at : 18-44-38
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Failed fit at : 18-46-25
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Failed fit at : 18-48-12
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Failed fit at : 18-50-01
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Failed fit at : 18-51-46
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Failed fit at : 18-53-31
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Failed fit at : 18-55-20
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Failed fit at : 18-57-09
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Failed fit at : 18-58-58
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Failed fit at : 19-00-50
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Failed fit at : 19-02-37
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Failed fit at : 19-04-25
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Failed fit at : 19-06-09
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Failed fit at : 19-07-58
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Failed fit at : 19-09-45
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Failed fit at : 19-11-33
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Failed fit at : 19-13-21
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Failed fit at : 19-15-07
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Failed fit at : 19-16-53
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Failed fit at : 19-18-39
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Failed fit at : 19-20-25
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Failed fit at : 19-22-11
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Failed fit at : 19-23-58
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Failed fit at : 19-25-42
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Failed fit at : 19-27-24
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Failed fit at : 19-29-10
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Failed fit at : 19-30-56
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Failed fit at : 19-32-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Failed fit at : 19-34-31
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Failed fit at : 19-36-19
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Failed fit at : 19-38-05
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Failed fit at : 19-39-54
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Failed fit at : 19-41-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Failed fit at : 19-43-34
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Failed fit at : 19-45-18
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Failed fit at : 19-47-08
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Failed fit at : 19-48-55
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Failed fit at : 19-50-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Failed fit at : 19-52-32
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Failed fit at : 19-54-20
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Failed fit at : 19-56-07
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Failed fit at : 19-57-56
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Failed fit at : 19-59-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Failed fit at : 20-01-27
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Failed fit at : 20-03-16
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Failed fit at : 20-05-01
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Failed fit at : 20-06-28
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Failed fit at : 20-07-55
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Failed fit at : 20-09-22
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Failed fit at : 20-10-49
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Failed fit at : 20-12-17
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Failed fit at : 20-13-44
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Failed fit at : 20-15-12
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Failed fit at : 20-16-39
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Failed fit at : 20-18-07
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Failed fit at : 20-19-35
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Failed fit at : 20-21-02
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Failed fit at : 20-22-32
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Failed fit at : 20-24-04
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Failed fit at : 20-25-34
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Failed fit at : 20-27-05
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Failed fit at : 20-28-39
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Failed fit at : 20-30-22
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Failed fit at : 20-32-12
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Failed fit at : 20-33-57
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Failed fit at : 20-35-41
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Failed fit at : 20-37-26
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Failed fit at : 20-39-08
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Failed fit at : 20-40-50
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Failed fit at : 20-42-28
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Failed fit at : 20-44-02
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Failed fit at : 20-45-40
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Failed fit at : 20-47-19
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Failed fit at : 20-49-00
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Failed fit at : 20-50-43
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Failed fit at : 20-52-23
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Failed fit at : 20-54-03
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Failed fit at : 20-55-47
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Failed fit at : 20-57-31
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Failed fit at : 20-59-12
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Failed fit at : 21-00-42
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Failed fit at : 21-02-12
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Failed fit at : 21-03-41
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Failed fit at : 21-05-09
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Failed fit at : 21-06-37
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Failed fit at : 21-08-04
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Failed fit at : 21-09-50
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Failed fit at : 21-11-36
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Failed fit at : 21-13-13
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Failed fit at : 21-14-41
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Failed fit at : 21-16-08
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Failed fit at : 21-17-36
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Failed fit at : 21-19-03
Traceback (most recent call last):
File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-19-03', '21-19-47')
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.setOffset()
dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Failed fit at : 17-56-41
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Failed fit at : 17-58-10
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Failed fit at : 17-59-38
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Failed fit at : 18-01-06
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Failed fit at : 18-02-39
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Failed fit at : 18-04-24
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Failed fit at : 18-06-11
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Failed fit at : 18-07-59
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Failed fit at : 18-09-42
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Failed fit at : 18-11-29
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Failed fit at : 18-13-17
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Failed fit at : 18-15-02
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Failed fit at : 18-16-49
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Failed fit at : 18-18-33
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Failed fit at : 18-20-18
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Failed fit at : 18-22-04
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Failed fit at : 18-23-50
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Failed fit at : 18-25-41
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Failed fit at : 18-27-30
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Failed fit at : 18-29-14
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Failed fit at : 18-30-58
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Failed fit at : 18-32-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Failed fit at : 18-34-17
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Failed fit at : 18-35-45
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Failed fit at : 18-37-28
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Failed fit at : 18-39-14
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Failed fit at : 18-41-02
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Failed fit at : 18-42-50
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Failed fit at : 18-44-38
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Failed fit at : 18-46-25
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Failed fit at : 18-48-12
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Failed fit at : 18-50-01
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Failed fit at : 18-51-46
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Failed fit at : 18-53-31
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Failed fit at : 18-55-20
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Failed fit at : 18-57-09
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Failed fit at : 18-58-58
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Failed fit at : 19-00-50
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Failed fit at : 19-02-37
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Failed fit at : 19-04-25
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Failed fit at : 19-06-09
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Failed fit at : 19-07-58
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Failed fit at : 19-09-45
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Failed fit at : 19-11-33
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Failed fit at : 19-13-21
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Failed fit at : 19-15-07
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Failed fit at : 19-16-53
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Failed fit at : 19-18-39
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Failed fit at : 19-20-25
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Failed fit at : 19-22-11
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Failed fit at : 19-23-58
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Failed fit at : 19-25-42
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Failed fit at : 19-27-24
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Failed fit at : 19-29-10
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Failed fit at : 19-30-56
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Failed fit at : 19-32-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Failed fit at : 19-34-31
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Failed fit at : 19-36-19
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Failed fit at : 19-38-05
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Failed fit at : 19-39-54
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Failed fit at : 19-41-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Failed fit at : 19-43-34
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Failed fit at : 19-45-18
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Failed fit at : 19-47-08
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Failed fit at : 19-48-55
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Failed fit at : 19-50-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Failed fit at : 19-52-32
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Failed fit at : 19-54-20
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Failed fit at : 19-56-07
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Failed fit at : 19-57-56
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Failed fit at : 19-59-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Failed fit at : 20-01-27
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Failed fit at : 20-03-16
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Failed fit at : 20-05-01
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Failed fit at : 20-06-28
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Failed fit at : 20-07-55
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Failed fit at : 20-09-22
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Failed fit at : 20-10-49
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Failed fit at : 20-12-17
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Failed fit at : 20-13-44
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Failed fit at : 20-15-12
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Failed fit at : 20-16-39
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Failed fit at : 20-18-07
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Failed fit at : 20-19-35
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Failed fit at : 20-21-02
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Failed fit at : 20-22-32
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Failed fit at : 20-24-04
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Failed fit at : 20-25-34
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Failed fit at : 20-27-05
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Failed fit at : 20-28-39
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Failed fit at : 20-30-22
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Failed fit at : 20-32-12
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Failed fit at : 20-33-57
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Failed fit at : 20-35-41
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Failed fit at : 20-37-26
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Failed fit at : 20-39-08
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Failed fit at : 20-40-50
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Failed fit at : 20-42-28
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Failed fit at : 20-44-02
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Failed fit at : 20-45-40
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Failed fit at : 20-47-19
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Failed fit at : 20-49-00
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Failed fit at : 20-50-43
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Failed fit at : 20-52-23
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Failed fit at : 20-54-03
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Failed fit at : 20-55-47
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Failed fit at : 20-57-31
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Failed fit at : 20-59-12
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Failed fit at : 21-00-42
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Failed fit at : 21-02-12
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Failed fit at : 21-03-41
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Failed fit at : 21-05-09
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Failed fit at : 21-06-37
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Failed fit at : 21-08-04
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Failed fit at : 21-09-50
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Failed fit at : 21-11-36
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Failed fit at : 21-13-13
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Failed fit at : 21-14-41
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Failed fit at : 21-16-08
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Failed fit at : 21-17-36
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Failed fit at : 21-19-03
Traceback (most recent call last):
File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-19-03', '21-19-47')
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.setOffset()
dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68161
Fitting ERROR at 17-56-41
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68161
Fitting ERROR at 17-58-10
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169
Fitting ERROR at 17-59-38
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-01-06
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68163
Fitting ERROR at 18-02-39
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-04-24
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-06-11
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112173 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-07-59
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112098 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-09-42
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112136 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-11-29
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68173
Fitting ERROR at 18-13-17
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68177
Fitting ERROR at 18-15-02
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112192 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-16-49
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68167
Fitting ERROR at 18-18-33
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112177 is out of bounds for axis 0 with size 68173
Fitting ERROR at 18-20-18
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112103 is out of bounds for axis 0 with size 68177
Fitting ERROR at 18-22-04
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112145 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-23-50
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-25-41
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112190 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-27-30
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112110 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-29-14
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-30-58
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-32-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112198 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-34-17
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68161
Fitting ERROR at 18-35-45
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-37-28
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-39-14
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112207 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-41-02
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-42-50
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-44-38
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-46-25
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68187
Fitting ERROR at 18-48-12
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112147 is out of bounds for axis 0 with size 68181
Fitting ERROR at 18-50-01
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68169
Fitting ERROR at 18-51-46
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68171
Fitting ERROR at 18-53-31
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68183
Fitting ERROR at 18-55-20
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68185
Fitting ERROR at 18-57-09
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112092 is out of bounds for axis 0 with size 68175
Fitting ERROR at 18-58-58
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112143 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-00-50
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-02-37
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112099 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-04-25
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-06-09
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-07-58
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-09-45
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-11-33
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112114 is out of bounds for axis 0 with size 68171
Fitting ERROR at 19-13-21
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-15-07
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-16-53
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-18-39
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112146 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-20-25
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-22-11
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-23-58
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112115 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-25-42
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68185
Fitting ERROR at 19-27-24
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-29-10
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112128 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-30-56
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68167
Fitting ERROR at 19-32-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-34-31
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68181
Fitting ERROR at 19-36-19
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112163 is out of bounds for axis 0 with size 68179
Fitting ERROR at 19-38-05
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-39-54
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-41-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68183
Fitting ERROR at 19-43-34
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-45-18
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112125 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-47-08
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68169
Fitting ERROR at 19-48-55
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68173
Fitting ERROR at 19-50-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112184 is out of bounds for axis 0 with size 68179
Fitting ERROR at 19-52-32
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68165
Fitting ERROR at 19-54-20
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68181
Fitting ERROR at 19-56-07
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68177
Fitting ERROR at 19-57-56
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112151 is out of bounds for axis 0 with size 68175
Fitting ERROR at 19-59-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112212 is out of bounds for axis 0 with size 68179
Fitting ERROR at 20-01-27
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68177
Fitting ERROR at 20-03-16
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112178 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-05-01
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112162 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-06-28
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-07-55
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-09-22
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-10-49
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-12-17
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-13-44
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68159
Fitting ERROR at 20-15-12
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-16-39
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112139 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-18-07
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112090 is out of bounds for axis 0 with size 68173
Fitting ERROR at 20-19-35
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-21-02
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112152 is out of bounds for axis 0 with size 68227
Fitting ERROR at 20-22-32
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112153 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-24-04
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-25-34
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-27-05
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-28-39
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68193
Fitting ERROR at 20-30-22
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112213 is out of bounds for axis 0 with size 68183
Fitting ERROR at 20-32-12
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112176 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-33-57
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68173
Fitting ERROR at 20-35-41
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68179
Fitting ERROR at 20-37-26
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112117 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-39-08
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112191 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-40-50
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-42-28
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68161
Fitting ERROR at 20-44-02
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-45-40
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-47-19
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-49-00
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169
Fitting ERROR at 20-50-43
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68163
Fitting ERROR at 20-52-23
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112148 is out of bounds for axis 0 with size 68177
Fitting ERROR at 20-54-03
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112096 is out of bounds for axis 0 with size 68171
Fitting ERROR at 20-55-47
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112101 is out of bounds for axis 0 with size 68175
Fitting ERROR at 20-57-31
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112170 is out of bounds for axis 0 with size 68167
Fitting ERROR at 20-59-12
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68163
Fitting ERROR at 21-00-42
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112124 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-02-12
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
dh1.setAllCAT(0.002)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
self.setBaseline(timeBuffer)
File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
if (self.voltage[i] > 6*0.01):
~~~~~~~~~~~~^^^
IndexError: index 112137 is out of bounds for axis 0 with size 68161
Fitting ERROR at 21-03-41
Traceback (most recent call last):
File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'
Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) Cell In[45], line 1 ----> 1 get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap') Cell In[44], line 491, in get_rel_scattering_df(data_folder) 488 #print(f.readlines()) 490 timestamp = get_timestamp(run_path) --> 491 fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2) 493 extracted_values = { 494 'pa1': result['pd1'][0], 495 'pd1': result['pd1'][1], (...) 499 'timestamp': timestamp 500 } 501 depth_ratios_df.append(extracted_values) Cell In[44], line 515, in get_rel_scattering(run_path1, run_path2) 514 def get_rel_scattering(run_path1, run_path2): --> 515 resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True) 516 resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True) 518 print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}") Cell In[44], line 538, in _load_single_run_rel_scat(run_path, plot, cache_all) 536 try: 537 dh1 = MTdataHost(SAMPLE_RATE) --> 538 dh1.loadCATdata(fileName=filename, settingsName=settingsname) 540 dh1.tBaseline = 1 541 dh1.tLoad = 2 File c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py:116, in MTdataHost.loadCATdata(self, fileName, settingsName) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=104'>105</a> ''' <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=105'>106</a> loads data from a .csv file and setting file as written by CATmeasurement.py <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=106'>107</a> (...) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=110'>111</a> settingsName - location of .txt file containing apparatus parameters set during measurement <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=111'>112</a> ''' <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=113'>114</a> self.CATbkBool = False --> <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=115'>116</a> data = np.genfromtxt(fileName ,dtype=None, comments="#", delimiter=",", skip_header=1) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=116'>117</a> self.settings = eval(open(settingsName, 'r').read()) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=118'>119</a> self.timeBaseline = self.settings['wait_baseline'] File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\numpy\lib\npyio.py:2226, in genfromtxt(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding, ndmin, like) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2222'>2223</a> append_to_invalid = invalid.append <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2224'>2225</a> # Parse each line -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2225'>2226</a> for (i, line) in enumerate(itertools.chain([first_line, ], fhd)): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2226'>2227</a> values = split_line(line) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2227'>2228</a> nbvalues = len(values) File <frozen codecs>:319, in decode(self, input, final) KeyboardInterrupt:
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
#dh1.setOffset()
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path)
fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.tBaseline = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.tCATbackground = dh1.tReload + dh1.timeReload
#dh1.setOffset()
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
scat_ratio 1, (2 inverted) = 1.652, 1.621
Rratio = 0.014 / 0.010 = 1.456
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
scat_ratio 1, (2 inverted) = 2.086, 2.015
Rratio = 0.015 / 0.005 = 2.946
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) Cell In[47], line 1 ----> 1 get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap') Cell In[46], line 491, in get_rel_scattering_df(data_folder) 488 #print(f.readlines()) 490 timestamp = get_timestamp(run_path) --> 491 fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2) 493 extracted_values = { 494 'pa1': result['pd1'][0], 495 'pd1': result['pd1'][1], (...) 499 'timestamp': timestamp 500 } 501 depth_ratios_df.append(extracted_values) Cell In[46], line 516, in get_rel_scattering(run_path1, run_path2) 514 def get_rel_scattering(run_path1, run_path2): 515 resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True) --> 516 resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True) 518 print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}") 519 scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2 Cell In[46], line 554, in _load_single_run_rel_scat(run_path, plot, cache_all) 552 fit_results = dh1.getResults(run_path, store=True) 553 if plot: --> 554 dh1.storeFits(run_path, combined=True, separate=False) 555 except Exception as e: 556 print(traceback.format_exc()) File c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py:810, in MTdataHost.storeFits(self, dirName, combined, separate) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=806'>807</a> plt.plot(self.CATbackgroundTime,self.CATbackgroundVoltage, c='pink') <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=807'>808</a> plt.plot(self.initTime, self.initFit[2], color='grey') --> <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=809'>810</a> plt.savefig(os.path.join(dirName,'fits.png'), dpi=400) <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=810'>811</a> plt.close() <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=812'>813</a> if separate: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\pyplot.py:1023, in savefig(*args, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1019'>1020</a> @_copy_docstring_and_deprecators(Figure.savefig) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1020'>1021</a> def savefig(*args, **kwargs): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1021'>1022</a> fig = gcf() -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1022'>1023</a> res = fig.savefig(*args, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1023'>1024</a> fig.canvas.draw_idle() # Need this if 'transparent=True', to reset colors. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1024'>1025</a> return res File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\figure.py:3343, in Figure.savefig(self, fname, transparent, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3338'>3339</a> for ax in self.axes: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3339'>3340</a> stack.enter_context( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3340'>3341</a> ax.patch._cm_set(facecolor='none', edgecolor='none')) -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3342'>3343</a> self.canvas.print_figure(fname, **kwargs) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:2366, in FigureCanvasBase.print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2361'>2362</a> try: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2362'>2363</a> # _get_renderer may change the figure dpi (as vector formats <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2363'>2364</a> # force the figure dpi to 72), so we need to set it again here. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2364'>2365</a> with cbook._setattr_cm(self.figure, dpi=dpi): -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2365'>2366</a> result = print_method( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2366'>2367</a> filename, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2367'>2368</a> facecolor=facecolor, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2368'>2369</a> edgecolor=edgecolor, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2369'>2370</a> orientation=orientation, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2370'>2371</a> bbox_inches_restore=_bbox_inches_restore, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2371'>2372</a> **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2372'>2373</a> finally: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2373'>2374</a> if bbox_inches and restore_bbox: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:2232, in FigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>(*args, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2227'>2228</a> optional_kws = { # Passed by print_figure for other renderers. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2228'>2229</a> "dpi", "facecolor", "edgecolor", "orientation", <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2229'>2230</a> "bbox_inches_restore"} <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2230'>2231</a> skip = optional_kws - {*inspect.signature(meth).parameters} -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2231'>2232</a> print_method = functools.wraps(meth)(lambda *args, **kwargs: meth( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2232'>2233</a> *args, **{k: v for k, v in kwargs.items() if k not in skip})) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2233'>2234</a> else: # Let third-parties do as they see fit. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2234'>2235</a> print_method = meth File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:509, in FigureCanvasAgg.print_png(self, filename_or_obj, metadata, pil_kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=461'>462</a> def print_png(self, filename_or_obj, *, metadata=None, pil_kwargs=None): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=462'>463</a> """ <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=463'>464</a> Write the figure to a PNG file. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=464'>465</a> (...) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=506'>507</a> *metadata*, including the default 'Software' key. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=507'>508</a> """ --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=508'>509</a> self._print_pil(filename_or_obj, "png", pil_kwargs, metadata) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:457, in FigureCanvasAgg._print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=451'>452</a> def _print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata=None): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=452'>453</a> """ <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=453'>454</a> Draw the canvas, then save it using `.image.imsave` (to which <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=454'>455</a> *pil_kwargs* and *metadata* are forwarded). <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=455'>456</a> """ --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=456'>457</a> FigureCanvasAgg.draw(self) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=457'>458</a> mpl.image.imsave( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=458'>459</a> filename_or_obj, self.buffer_rgba(), format=fmt, origin="upper", <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=459'>460</a> dpi=self.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:400, in FigureCanvasAgg.draw(self) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=395'>396</a> # Acquire a lock on the shared font cache. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=396'>397</a> with RendererAgg.lock, \ <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=397'>398</a> (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=398'>399</a> else nullcontext()): --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=399'>400</a> self.figure.draw(self.renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=400'>401</a> # A GUI class may be need to update a window using this draw, so <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=401'>402</a> # don't forget to call the superclass. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=402'>403</a> super().draw() File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:95, in _finalize_rasterization.<locals>.draw_wrapper(artist, renderer, *args, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=92'>93</a> @wraps(draw) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=93'>94</a> def draw_wrapper(artist, renderer, *args, **kwargs): ---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=94'>95</a> result = draw(artist, renderer, *args, **kwargs) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=95'>96</a> if renderer._rasterizing: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=96'>97</a> renderer.stop_rasterizing() File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a> if artist.get_agg_filter() is not None: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a> renderer.start_filter() ---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a> return draw(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a> if artist.get_agg_filter() is not None: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\figure.py:3140, in Figure.draw(self, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3136'>3137</a> # ValueError can occur when resizing a window. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3138'>3139</a> self.patch.draw(renderer) -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3139'>3140</a> mimage._draw_list_compositing_images( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3140'>3141</a> renderer, self, artists, self.suppressComposite) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3142'>3143</a> for sfig in self.subfigs: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3143'>3144</a> sfig.draw(renderer) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=128'>129</a> if not_composite or not has_images: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=129'>130</a> for a in artists: --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=130'>131</a> a.draw(renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=131'>132</a> else: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=132'>133</a> # Composite any adjacent images together <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=133'>134</a> image_group = [] File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a> if artist.get_agg_filter() is not None: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a> renderer.start_filter() ---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a> return draw(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a> if artist.get_agg_filter() is not None: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\axes\_base.py:3064, in _AxesBase.draw(self, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3060'>3061</a> if artists_rasterized: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3061'>3062</a> _draw_rasterized(self.figure, artists_rasterized, renderer) -> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3063'>3064</a> mimage._draw_list_compositing_images( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3064'>3065</a> renderer, self, artists, self.figure.suppressComposite) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3066'>3067</a> renderer.close_group('axes') <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3067'>3068</a> self.stale = False File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=128'>129</a> if not_composite or not has_images: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=129'>130</a> for a in artists: --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=130'>131</a> a.draw(renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=131'>132</a> else: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=132'>133</a> # Composite any adjacent images together <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=133'>134</a> image_group = [] File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a> if artist.get_agg_filter() is not None: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a> renderer.start_filter() ---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a> return draw(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a> if artist.get_agg_filter() is not None: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\collections.py:972, in _CollectionWithSizes.draw(self, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=968'>969</a> @artist.allow_rasterization <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=969'>970</a> def draw(self, renderer): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=970'>971</a> self.set_sizes(self._sizes, self.figure.dpi) --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=971'>972</a> super().draw(renderer) File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a> if artist.get_agg_filter() is not None: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a> renderer.start_filter() ---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a> return draw(artist, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a> if artist.get_agg_filter() is not None: File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\collections.py:417, in Collection.draw(self, renderer) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=407'>408</a> else: <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=408'>409</a> renderer.draw_path_collection( <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=409'>410</a> gc, transform.frozen(), paths, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=410'>411</a> self.get_transforms(), offsets, offset_trf, (...) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=413'>414</a> self._antialiaseds, self._urls, <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=414'>415</a> "screen") # offset_position, kept for backcompat. --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=416'>417</a> gc.restore() <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=417'>418</a> renderer.close_group(self.__class__.__name__) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=418'>419</a> self.stale = False File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:801, in GraphicsContextBase.restore(self) <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=797'>798</a> self._snap = gc._snap <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=798'>799</a> self._sketch = gc._sketch --> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=800'>801</a> def restore(self): <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=801'>802</a> """ <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=802'>803</a> Restore the graphics context from the stack - needed only <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=803'>804</a> for backends that save graphics contexts on a stack. <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=804'>805</a> """ <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=806'>807</a> def get_alpha(self): KeyboardInterrupt:
import seaborn as sns
scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()
0%| | 0/121 [00:00<?, ?it/s]<ipython-input-64-1a272312f3b3>:523: RuntimeWarning: invalid value encountered in sqrt depthRatio = np.sqrt(Rratio/scat_ratio_avg) 29%|██▉ | 35/121 [00:00<00:00, 347.96it/s]
{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Accessing cached results from : 17-57-25
scat_ratio 1, (2 inverted) = 1.652, 1.621
Rratio = 0.014 / 0.010 = 1.456
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Accessing cached results from : 17-58-54
scat_ratio 1, (2 inverted) = 2.086, 2.015
Rratio = 0.015 / 0.005 = 2.946
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Accessing cached results from : 18-00-22
scat_ratio 1, (2 inverted) = 0.913, 0.914
Rratio = 0.014 / 0.006 = 2.472
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Accessing cached results from : 18-01-50
scat_ratio 1, (2 inverted) = 0.981, 0.958
Rratio = 0.013 / 0.007 = 1.829
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Accessing cached results from : 18-03-31
scat_ratio 1, (2 inverted) = 2.408, 2.328
Rratio = 0.012 / 0.002 = 7.372
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Accessing cached results from : 18-05-17
scat_ratio 1, (2 inverted) = 1.294, 1.238
Rratio = 0.013 / 0.009 = 1.435
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Accessing cached results from : 18-07-04
scat_ratio 1, (2 inverted) = 1.872, 1.779
Rratio = 0.012 / 0.004 = 3.021
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Accessing cached results from : 18-08-51
scat_ratio 1, (2 inverted) = 1.401, 1.371
Rratio = 0.011 / 0.009 = 1.218
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Accessing cached results from : 18-10-35
scat_ratio 1, (2 inverted) = 0.950, 0.230
Rratio = 0.012 / 0.000 = 27.840
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Accessing cached results from : 18-12-22
scat_ratio 1, (2 inverted) = 0.881, 0.885
Rratio = 0.012 / 0.003 = 3.479
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Accessing cached results from : 18-14-10
scat_ratio 1, (2 inverted) = 1.111, 1.113
Rratio = 0.012 / 0.008 = 1.473
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Accessing cached results from : 18-15-55
scat_ratio 1, (2 inverted) = 2.319, 2.136
Rratio = 0.012 / 0.005 = 2.264
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Accessing cached results from : 18-17-41
scat_ratio 1, (2 inverted) = 2.958, 2.682
Rratio = 0.011 / -0.001 = -18.151
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Accessing cached results from : 18-19-25
scat_ratio 1, (2 inverted) = 1.061, 1.081
Rratio = 0.012 / 0.004 = 3.427
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Accessing cached results from : 18-21-10
scat_ratio 1, (2 inverted) = 1.252, 1.254
Rratio = 0.012 / 0.005 = 2.668
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Accessing cached results from : 18-22-56
scat_ratio 1, (2 inverted) = 3.387, 3.062
Rratio = 0.013 / 0.003 = 5.029
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Accessing cached results from : 18-24-46
scat_ratio 1, (2 inverted) = 1.749, 1.756
Rratio = 0.013 / 0.005 = 2.631
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Accessing cached results from : 18-26-35
scat_ratio 1, (2 inverted) = 2.601, 2.552
Rratio = 0.013 / 0.001 = 11.784
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Accessing cached results from : 18-28-23
scat_ratio 1, (2 inverted) = 1.941, 1.955
Rratio = 0.013 / 0.005 = 2.428
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Accessing cached results from : 18-30-07
scat_ratio 1, (2 inverted) = 0.948, 1.007
Rratio = 0.014 / 0.001 = 12.414
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Accessing cached results from : 18-31-50
scat_ratio 1, (2 inverted) = 0.964, 0.978
Rratio = 0.014 / 0.003 = 5.300
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Accessing cached results from : 18-33-33
scat_ratio 1, (2 inverted) = 1.435, 1.435
Rratio = 0.013 / 0.005 = 2.584
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Accessing cached results from : 18-35-01
scat_ratio 1, (2 inverted) = 1.284, 1.234
Rratio = 0.012 / 0.012 = 1.023
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Accessing cached results from : 18-36-37
scat_ratio 1, (2 inverted) = 1.573, 1.257
Rratio = 0.014 / 0.006 = 2.245
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Accessing cached results from : 18-38-22
scat_ratio 1, (2 inverted) = 0.889, 0.855
Rratio = 0.013 / 0.006 = 2.128
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Accessing cached results from : 18-40-07
scat_ratio 1, (2 inverted) = 0.933, 0.855
Rratio = 0.012 / 0.008 = 1.473
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Accessing cached results from : 18-41-55
scat_ratio 1, (2 inverted) = 1.809, 1.670
Rratio = 0.012 / 0.003 = 3.440
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Accessing cached results from : 18-43-45
scat_ratio 1, (2 inverted) = 1.035, 1.021
Rratio = 0.013 / 0.012 = 1.036
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Accessing cached results from : 18-45-32
scat_ratio 1, (2 inverted) = 1.419, 1.344
Rratio = 0.011 / 0.011 = 0.932
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Accessing cached results from : 18-47-18
scat_ratio 1, (2 inverted) = 1.115, 1.099
Rratio = 0.013 / 0.013 = 0.946
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Accessing cached results from : 18-49-06
scat_ratio 1, (2 inverted) = 1.032, -41.446
Rratio = 0.012 / -0.000 = -67.052
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Accessing cached results from : 18-50-54
scat_ratio 1, (2 inverted) = 0.894, 0.770
Rratio = 0.013 / 0.003 = 3.983
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Accessing cached results from : 18-52-38
scat_ratio 1, (2 inverted) = 0.942, 0.929
Rratio = 0.012 / 0.010 = 1.155
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Accessing cached results from : 18-54-26
scat_ratio 1, (2 inverted) = 3.368, 3.034
Rratio = 0.012 / 0.002 = 7.017
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Accessing cached results from : 18-56-14
scat_ratio 1, (2 inverted) = 4.662, 4.456
Rratio = 0.011 / 0.001 = 9.568
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Accessing cached results from : 18-58-04
scat_ratio 1, (2 inverted) = 1.368, 1.359
Rratio = 0.010 / 0.002 = 5.204
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Accessing cached results from : 18-59-53
scat_ratio 1, (2 inverted) = 1.753, 1.686
Rratio = 0.013 / 0.002 = 5.900
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Accessing cached results from : 19-01-45
scat_ratio 1, (2 inverted) = 5.307, 3.835
Rratio = 0.013 / 0.000 = 41.478
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Accessing cached results from : 19-03-30
scat_ratio 1, (2 inverted) = 2.477, 2.327
Rratio = 0.011 / 0.002 = 4.873
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Accessing cached results from : 19-05-18
scat_ratio 1, (2 inverted) = 4.012, 3.708
Rratio = 0.013 / 0.001 = 9.530
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Accessing cached results from : 19-07-03
scat_ratio 1, (2 inverted) = 2.936, 2.696
Rratio = 0.013 / 0.003 = 4.566
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Accessing cached results from : 19-08-50
scat_ratio 1, (2 inverted) = 1.066, 1.104
Rratio = 0.013 / 0.001 = 16.966
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Accessing cached results from : 19-10-40
scat_ratio 1, (2 inverted) = 1.175, 1.171
Rratio = 0.013 / 0.001 = 9.722
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Accessing cached results from : 19-12-26
scat_ratio 1, (2 inverted) = 2.102, 1.934
Rratio = 0.013 / 0.003 = 4.649
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Accessing cached results from : 19-14-14
scat_ratio 1, (2 inverted) = 1.810, 1.787
Rratio = 0.013 / 0.007 = 1.881
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Accessing cached results from : 19-15-58
scat_ratio 1, (2 inverted) = 2.287, 2.321
Rratio = 0.012 / 0.006 = 1.922
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Accessing cached results from : 19-17-45
scat_ratio 1, (2 inverted) = 0.943, 0.918
Rratio = 0.011 / 0.005 = 2.468
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Accessing cached results from : 19-19-32
scat_ratio 1, (2 inverted) = 1.042, 1.027
Rratio = 0.011 / 0.006 = 1.919
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Accessing cached results from : 19-21-18
scat_ratio 1, (2 inverted) = 2.571, 2.109
Rratio = 0.011 / 0.003 = 3.867
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Accessing cached results from : 19-23-06
scat_ratio 1, (2 inverted) = 1.364, 1.310
Rratio = 0.012 / 0.007 = 1.630
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Accessing cached results from : 19-24-50
scat_ratio 1, (2 inverted) = 2.136, 1.904
Rratio = 0.012 / 0.006 = 1.836
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Accessing cached results from : 19-26-32
scat_ratio 1, (2 inverted) = 1.572, 1.489
Rratio = 0.012 / 0.007 = 1.755
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Accessing cached results from : 19-28-17
scat_ratio 1, (2 inverted) = 0.936, 1.069
Rratio = 0.011 / 0.001 = 8.627
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Accessing cached results from : 19-30-04
scat_ratio 1, (2 inverted) = 0.895, 0.895
Rratio = 0.012 / 0.003 = 4.222
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Accessing cached results from : 19-31-49
scat_ratio 1, (2 inverted) = 1.219, 1.155
Rratio = 0.012 / 0.007 = 1.679
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Accessing cached results from : 19-33-39
scat_ratio 1, (2 inverted) = 1.984, 1.834
Rratio = 0.011 / 0.005 = 2.146
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Accessing cached results from : 19-35-25
scat_ratio 1, (2 inverted) = 2.566, 2.419
Rratio = 0.012 / 0.003 = 3.561
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Accessing cached results from : 19-37-13
scat_ratio 1, (2 inverted) = 0.985, 0.991
Rratio = 0.012 / 0.004 = 2.871
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Accessing cached results from : 19-38-59
scat_ratio 1, (2 inverted) = 1.129, 1.088
Rratio = 0.013 / 0.006 = 2.313
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Accessing cached results from : 19-40-47
scat_ratio 1, (2 inverted) = 2.953, 2.673
Rratio = 0.013 / 0.003 = 4.652
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Accessing cached results from : 19-42-38
scat_ratio 1, (2 inverted) = 1.543, 1.515
Rratio = 0.013 / 0.006 = 2.145
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Accessing cached results from : 19-44-27
scat_ratio 1, (2 inverted) = 2.296, 2.163
Rratio = 0.013 / 0.007 = 2.013
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Accessing cached results from : 19-46-12
scat_ratio 1, (2 inverted) = 1.747, 1.731
Rratio = 0.013 / 0.006 = 2.219
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Accessing cached results from : 19-48-02
scat_ratio 1, (2 inverted) = 0.925, 1.049
Rratio = 0.011 / -0.001 = -9.977
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Accessing cached results from : 19-49-51
scat_ratio 1, (2 inverted) = 0.915, 0.917
Rratio = 0.012 / 0.002 = 4.769
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Accessing cached results from : 19-51-37
scat_ratio 1, (2 inverted) = 1.283, 1.256
Rratio = 0.011 / 0.006 = 1.774
100%|██████████| 121/121 [00:00<00:00, 324.84it/s]
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Accessing cached results from : 19-53-26
scat_ratio 1, (2 inverted) = 1.391, 1.401
Rratio = 0.011 / 0.010 = 1.071
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Accessing cached results from : 19-55-13
scat_ratio 1, (2 inverted) = 1.768, 1.668
Rratio = 0.011 / 0.006 = 1.792
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Accessing cached results from : 19-57-02
scat_ratio 1, (2 inverted) = 0.374, 0.882
Rratio = 0.011 / 0.005 = 2.045
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Accessing cached results from : 19-58-49
scat_ratio 1, (2 inverted) = 0.912, 0.904
Rratio = 0.011 / 0.008 = 1.399
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Accessing cached results from : 20-00-35
scat_ratio 1, (2 inverted) = 2.037, 1.911
Rratio = 0.011 / 0.003 = 3.274
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Accessing cached results from : 20-02-23
scat_ratio 1, (2 inverted) = 1.132, 1.076
Rratio = 0.011 / 0.010 = 1.090
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Accessing cached results from : 20-04-08
scat_ratio 1, (2 inverted) = 1.577, 1.502
Rratio = 0.011 / 0.005 = 1.996
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Accessing cached results from : 20-05-44
scat_ratio 1, (2 inverted) = 1.226, 1.195
Rratio = 0.011 / 0.010 = 1.025
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Accessing cached results from : 20-07-12
scat_ratio 1, (2 inverted) = 1.581, 0.571
Rratio = 0.011 / -0.000 = -79.686
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Accessing cached results from : 20-08-39
scat_ratio 1, (2 inverted) = 0.526, 0.898
Rratio = 0.011 / 0.003 = 3.555
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Accessing cached results from : 20-10-06
scat_ratio 1, (2 inverted) = 1.005, 0.987
Rratio = 0.011 / 0.009 = 1.208
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Accessing cached results from : 20-11-33
scat_ratio 1, (2 inverted) = 2.585, 2.419
Rratio = 0.010 / 0.002 = 5.209
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Accessing cached results from : 20-13-01
scat_ratio 1, (2 inverted) = 3.428, 3.152
Rratio = 0.012 / 0.003 = 3.875
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Accessing cached results from : 20-14-28
scat_ratio 1, (2 inverted) = 1.182, 1.171
Rratio = 0.012 / 0.003 = 4.254
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Accessing cached results from : 20-15-55
scat_ratio 1, (2 inverted) = 1.398, 1.371
Rratio = 0.012 / 0.003 = 3.554
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Accessing cached results from : 20-17-24
scat_ratio 1, (2 inverted) = 4.047, 3.348
Rratio = 0.012 / 0.002 = 7.187
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Accessing cached results from : 20-18-51
scat_ratio 1, (2 inverted) = 1.996, 1.892
Rratio = 0.012 / 0.004 = 3.268
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Accessing cached results from : 20-20-19
scat_ratio 1, (2 inverted) = 2.968, 2.747
Rratio = 0.012 / 0.003 = 4.301
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Accessing cached results from : 20-21-47
scat_ratio 1, (2 inverted) = 2.238, 2.160
Rratio = 0.012 / 0.003 = 3.724
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Accessing cached results from : 20-23-18
scat_ratio 1, (2 inverted) = 0.964, 1.044
Rratio = 0.012 / 0.001 = 16.911
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Accessing cached results from : 20-24-50
scat_ratio 1, (2 inverted) = 1.019, 1.045
Rratio = 0.011 / 0.002 = 5.263
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Accessing cached results from : 20-26-20
scat_ratio 1, (2 inverted) = 1.691, 1.630
Rratio = 0.010 / 0.004 = 2.770
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Accessing cached results from : 20-27-51
scat_ratio 1, (2 inverted) = 1.540, 1.471
Rratio = 0.011 / 0.009 = 1.330
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Accessing cached results from : 20-29-29
scat_ratio 1, (2 inverted) = 1.899, 1.822
Rratio = 0.011 / 0.003 = 3.943
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Accessing cached results from : 20-31-20
scat_ratio 1, (2 inverted) = 0.882, 0.857
Rratio = 0.011 / 0.005 = 2.227
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Accessing cached results from : 20-33-07
scat_ratio 1, (2 inverted) = 0.939, 0.926
Rratio = 0.009 / 0.007 = 1.339
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Accessing cached results from : 20-34-48
scat_ratio 1, (2 inverted) = 2.196, 2.159
Rratio = 0.011 / 0.003 = 4.031
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Accessing cached results from : 20-36-35
scat_ratio 1, (2 inverted) = 1.222, 1.172
Rratio = 0.010 / 0.008 = 1.306
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Accessing cached results from : 20-38-18
scat_ratio 1, (2 inverted) = 1.707, 1.609
Rratio = 0.011 / 0.010 = 1.063
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Accessing cached results from : 20-39-58
scat_ratio 1, (2 inverted) = 1.292, 1.254
Rratio = 0.010 / 0.010 = 1.092
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Accessing cached results from : 20-41-42
scat_ratio 1, (2 inverted) = 0.914, 0.330
Rratio = 0.011 / 0.013 = 0.809
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Accessing cached results from : 20-43-15
scat_ratio 1, (2 inverted) = 0.882, 0.879
Rratio = 0.011 / 0.003 = 3.409
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Accessing cached results from : 20-44-50
scat_ratio 1, (2 inverted) = 1.045, 1.050
Rratio = 0.012 / 0.009 = 1.322
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Accessing cached results from : 20-46-29
scat_ratio 1, (2 inverted) = 1.333, 1.295
Rratio = 0.012 / 0.011 = 1.111
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Accessing cached results from : 20-48-09
scat_ratio 1, (2 inverted) = 1.675, 1.603
Rratio = 0.012 / 0.004 = 2.848
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Accessing cached results from : 20-49-52
scat_ratio 1, (2 inverted) = 0.861, 0.841
Rratio = 0.012 / 0.006 = 2.133
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Accessing cached results from : 20-51-33
scat_ratio 1, (2 inverted) = 0.902, 0.359
Rratio = 0.012 / 0.008 = 1.462
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Accessing cached results from : 20-53-13
scat_ratio 1, (2 inverted) = 1.905, 1.832
Rratio = 0.013 / 0.003 = 4.586
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Accessing cached results from : 20-54-56
scat_ratio 1, (2 inverted) = 1.081, 1.022
Rratio = 0.012 / 0.011 = 1.119
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Accessing cached results from : 20-56-40
scat_ratio 1, (2 inverted) = 1.477, 1.428
Rratio = 0.011 / 0.007 = 1.610
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Accessing cached results from : 20-58-23
scat_ratio 1, (2 inverted) = 1.192, 1.149
Rratio = 0.011 / 0.011 = 1.001
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Accessing cached results from : 20-59-57
scat_ratio 1, (2 inverted) = 4.087, 0.305
Rratio = 0.011 / 0.000 = 42.296
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Accessing cached results from : 21-01-27
scat_ratio 1, (2 inverted) = 0.672, 0.792
Rratio = 0.011 / 0.003 = 3.802
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Accessing cached results from : 21-02-56
scat_ratio 1, (2 inverted) = 0.980, 0.974
Rratio = 0.010 / 0.009 = 1.095
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Accessing cached results from : 21-04-25
scat_ratio 1, (2 inverted) = 1.229, 1.163
Rratio = 0.011 / 0.009 = 1.162
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Accessing cached results from : 21-05-53
scat_ratio 1, (2 inverted) = 1.532, 0.903
Rratio = 0.010 / 0.004 = 2.476
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Accessing cached results from : 21-07-20
scat_ratio 1, (2 inverted) = 0.865, 0.878
Rratio = 0.011 / 0.005 = 2.147
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Accessing cached results from : 21-08-57
scat_ratio 1, (2 inverted) = 0.913, 0.862
Rratio = 0.010 / 0.008 = 1.356
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Accessing cached results from : 21-10-43
scat_ratio 1, (2 inverted) = 1.760, 0.904
Rratio = 0.011 / 0.001 = 9.706
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Accessing cached results from : 21-12-29
scat_ratio 1, (2 inverted) = 1.019, 1.003
Rratio = 0.011 / 0.010 = 1.080
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Accessing cached results from : 21-13-57
scat_ratio 1, (2 inverted) = 1.345, -0.131
Rratio = 0.011 / 0.008 = 1.386
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Accessing cached results from : 21-15-24
scat_ratio 1, (2 inverted) = 1.095, 1.065
Rratio = 0.012 / 0.012 = 1.000
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Accessing cached results from : 21-16-52
scat_ratio 1, (2 inverted) = 15.371, -0.022
Rratio = 0.011 / 0.001 = 12.196
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Accessing cached results from : 21-18-19
scat_ratio 1, (2 inverted) = 0.917, 0.864
Rratio = 0.012 / 0.004 = 3.060
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Accessing cached results from : 21-19-47
scat_ratio 1, (2 inverted) = 0.934, 0.930
Rratio = 0.013 / 0.010 = 1.278
<ipython-input-67-ffdbf096cf32>:3: FutureWarning: In a future version of pandas all arguments of DataFrame.pivot will be keyword-only.
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict = {}
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict['scat_ratio1'] = scat_ratio1
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
resultDict['scat_ratio2'] = scat_ratio2
#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
resultDict['scat_ratio_avg'] = scat_ratio_avg
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
resultDict['Rratio'] = Rratio
#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, resultDict, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.tBaseline = 1
dh1.tCATbackground = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.setOffset()
#dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.tBaseline = dh1.tReload + dh1.timeReload
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=False)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
import seaborn as sns
scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()
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<ipython-input-69-ffdbf096cf32>:3: FutureWarning: In a future version of pandas all arguments of DataFrame.pivot will be keyword-only.
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
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sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()
scat_df[scat_df['depth_ratio'].isna()]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 12 | 1.85 | 84.0 | 0.690 | 80.8 | NaN | 1900-01-01 18:16:49 | 2.957568 | 0.372832 | 2.819870 | -18.151483 |
| 63 | 1.85 | 84.0 | 0.835 | 88.0 | NaN | 1900-01-01 19:47:08 | 0.924823 | 0.953473 | 0.986810 | -9.977041 |
| 74 | 1.85 | 84.0 | 1.415 | 88.0 | NaN | 1900-01-01 20:06:28 | 1.581415 | 1.751459 | 1.076184 | -79.685872 |
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_df(data_folder):
depth_ratios_df = []
listdir = sorted(os.listdir(data_folder))
try:
for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict = {}
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict['scat_ratio1'] = scat_ratio1
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
resultDict['scat_ratio2'] = 1/scat_ratio2
#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
resultDict['scat_ratio_avg'] = scat_ratio_avg
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
resultDict['Rratio'] = Rratio
#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, resultDict, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.tBaseline = 1
dh1.tCATbackground = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.setOffset()
#dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.tBaseline = dh1.tReload + dh1.timeReload
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=True)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
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<ipython-input-75-5573a15fdb22>:529: RuntimeWarning: invalid value encountered in sqrt depthRatio = np.sqrt(Rratio/scat_ratio_avg) 11%|█ | 13/121 [01:30<13:01, 7.24s/it]
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File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
21%|██▏ | 26/121 [02:58<12:04, 7.63s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
22%|██▏ | 27/121 [03:06<12:16, 7.83s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
23%|██▎ | 28/121 [03:13<11:23, 7.35s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
24%|██▍ | 29/121 [03:19<10:52, 7.10s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
25%|██▍ | 30/121 [03:27<10:58, 7.23s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
26%|██▌ | 31/121 [03:35<11:33, 7.71s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
26%|██▋ | 32/121 [03:42<11:02, 7.44s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
27%|██▋ | 33/121 [03:50<10:53, 7.42s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
28%|██▊ | 34/121 [03:57<10:46, 7.43s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
29%|██▉ | 35/121 [04:04<10:36, 7.40s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
30%|██▉ | 36/121 [04:10<09:54, 6.99s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
31%|███ | 37/121 [04:24<12:28, 8.91s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
31%|███▏ | 38/121 [04:40<15:15, 11.03s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
32%|███▏ | 39/121 [04:51<15:15, 11.16s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
33%|███▎ | 40/121 [04:58<13:18, 9.86s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
34%|███▍ | 41/121 [05:08<13:15, 9.95s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
35%|███▍ | 42/121 [05:16<12:19, 9.36s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
36%|███▌ | 43/121 [05:29<13:22, 10.29s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
36%|███▋ | 44/121 [05:37<12:28, 9.72s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
37%|███▋ | 45/121 [05:52<14:09, 11.17s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
38%|███▊ | 46/121 [06:06<15:09, 12.12s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
39%|███▉ | 47/121 [06:14<13:32, 10.99s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
40%|███▉ | 48/121 [06:25<13:12, 10.86s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
40%|████ | 49/121 [06:39<14:21, 11.97s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
41%|████▏ | 50/121 [06:50<13:50, 11.69s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
42%|████▏ | 51/121 [06:59<12:37, 10.82s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
43%|████▎ | 52/121 [07:10<12:18, 10.70s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
44%|████▍ | 53/121 [07:26<14:01, 12.38s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
45%|████▍ | 54/121 [07:35<12:43, 11.39s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
45%|████▌ | 55/121 [07:45<12:07, 11.03s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
46%|████▋ | 56/121 [07:54<11:22, 10.49s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
47%|████▋ | 57/121 [08:03<10:35, 9.93s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
48%|████▊ | 58/121 [08:10<09:32, 9.08s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
49%|████▉ | 59/121 [08:17<08:37, 8.35s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
50%|████▉ | 60/121 [08:24<08:08, 8.01s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
50%|█████ | 61/121 [08:30<07:28, 7.47s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
51%|█████ | 62/121 [08:38<07:25, 7.55s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
52%|█████▏ | 63/121 [08:50<08:29, 8.79s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
53%|█████▎ | 64/121 [09:01<08:58, 9.44s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
54%|█████▎ | 65/121 [09:15<10:02, 10.77s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
55%|█████▍ | 66/121 [09:25<09:50, 10.74s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
55%|█████▌ | 67/121 [09:34<09:06, 10.12s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
56%|█████▌ | 68/121 [09:45<09:11, 10.40s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
57%|█████▋ | 69/121 [09:59<09:51, 11.37s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
58%|█████▊ | 70/121 [10:15<11:04, 13.04s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
59%|█████▊ | 71/121 [10:23<09:29, 11.39s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
60%|█████▉ | 72/121 [10:32<08:40, 10.63s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
60%|██████ | 73/121 [10:43<08:31, 10.66s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
61%|██████ | 74/121 [10:53<08:14, 10.52s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
62%|██████▏ | 75/121 [11:01<07:30, 9.80s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
63%|██████▎ | 76/121 [11:09<06:53, 9.19s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
64%|██████▎ | 77/121 [11:18<06:42, 9.16s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
64%|██████▍ | 78/121 [11:33<07:52, 10.99s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
65%|██████▌ | 79/121 [11:47<08:16, 11.82s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
66%|██████▌ | 80/121 [11:53<06:58, 10.20s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
67%|██████▋ | 81/121 [12:02<06:36, 9.90s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
68%|██████▊ | 82/121 [12:18<07:35, 11.67s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
69%|██████▊ | 83/121 [12:30<07:26, 11.76s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
69%|██████▉ | 84/121 [12:42<07:16, 11.79s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
70%|███████ | 85/121 [12:49<06:08, 10.24s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
71%|███████ | 86/121 [13:01<06:18, 10.81s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
72%|███████▏ | 87/121 [13:11<06:02, 10.67s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
73%|███████▎ | 88/121 [13:20<05:33, 10.09s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
74%|███████▎ | 89/121 [13:29<05:14, 9.84s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
74%|███████▍ | 90/121 [13:35<04:30, 8.73s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
75%|███████▌ | 91/121 [13:41<03:56, 7.89s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
76%|███████▌ | 92/121 [13:47<03:33, 7.35s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
77%|███████▋ | 93/121 [13:54<03:23, 7.26s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
78%|███████▊ | 94/121 [14:00<03:02, 6.77s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
79%|███████▊ | 95/121 [14:06<02:53, 6.68s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
79%|███████▉ | 96/121 [14:13<02:42, 6.52s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
80%|████████ | 97/121 [14:21<02:47, 7.00s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
81%|████████ | 98/121 [14:27<02:38, 6.91s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
82%|████████▏ | 99/121 [14:34<02:26, 6.68s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
83%|████████▎ | 100/121 [14:40<02:17, 6.57s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
83%|████████▎ | 101/121 [14:47<02:11, 6.59s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
84%|████████▍ | 102/121 [14:52<01:58, 6.26s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
85%|████████▌ | 103/121 [14:58<01:52, 6.26s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
86%|████████▌ | 104/121 [15:05<01:49, 6.46s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
87%|████████▋ | 105/121 [15:13<01:47, 6.72s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
88%|████████▊ | 106/121 [15:19<01:39, 6.63s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
88%|████████▊ | 107/121 [15:26<01:35, 6.84s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
89%|████████▉ | 108/121 [15:36<01:40, 7.71s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
90%|█████████ | 109/121 [15:42<01:27, 7.26s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
91%|█████████ | 110/121 [15:49<01:17, 7.04s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
92%|█████████▏| 111/121 [15:55<01:07, 6.73s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
93%|█████████▎| 112/121 [16:16<01:39, 11.08s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
93%|█████████▎| 113/121 [16:23<01:18, 9.82s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
94%|█████████▍| 114/121 [16:30<01:03, 9.02s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
95%|█████████▌| 115/121 [16:37<00:51, 8.51s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
96%|█████████▌| 116/121 [16:43<00:38, 7.69s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
97%|█████████▋| 117/121 [16:49<00:28, 7.24s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
98%|█████████▊| 118/121 [16:55<00:20, 6.80s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
98%|█████████▊| 119/121 [17:02<00:13, 6.96s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
99%|█████████▉| 120/121 [17:10<00:07, 7.05s/it]
File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG File loaded: RFmin = 49 MHz, t_mt = 1.050 s. FITTINGGGGGGGGGGGG
100%|██████████| 121/121 [17:15<00:00, 8.56s/it]
scat_df[scat_df['depth_ratio'].isna()]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 12 | 1.85 | 84.0 | 0.690 | 80.8 | NaN | 1900-01-01 18:16:49 | 2.957568 | 2.682171 | 2.819870 | -18.151483 |
| 63 | 1.85 | 84.0 | 0.835 | 88.0 | NaN | 1900-01-01 19:47:08 | 0.924823 | 1.048797 | 0.986810 | -9.977041 |
| 74 | 1.85 | 84.0 | 1.415 | 88.0 | NaN | 1900-01-01 20:06:28 | 1.581415 | 0.570952 | 1.076184 | -79.685872 |
scat_df[scat_df['depth_ratio']<0.3]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 8 | 1.85 | 84.0 | 1.125 | 88.0 | 0.145580 | 1900-01-01 18:09:42 | 0.950028 | 0.230033 | 0.590030 | 27.840249 |
| 19 | 1.85 | 84.0 | 0.690 | 88.0 | 0.280564 | 1900-01-01 18:29:14 | 0.947641 | 1.006793 | 0.977217 | 12.414471 |
| 41 | 1.85 | 84.0 | 0.400 | 88.0 | 0.252895 | 1900-01-01 19:07:58 | 1.065684 | 1.104443 | 1.085063 | 16.965781 |
| 85 | 1.85 | 84.0 | 0.545 | 88.0 | 0.243643 | 1900-01-01 20:22:32 | 0.963920 | 1.043803 | 1.003861 | 16.910930 |
| 107 | 1.85 | 84.0 | 1.560 | 88.0 | 0.227863 | 1900-01-01 20:59:12 | 4.086833 | 0.305328 | 2.196081 | 42.296172 |
plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'])
[<matplotlib.lines.Line2D at 0x1b0fa124e50>]
plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], '-o')
[<matplotlib.lines.Line2D at 0x1b0fa3a4e50>]
plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], '-o')
plt.ylim(0,1)
(0.0, 1.0)
plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], 'o')
plt.ylim(0,1)
(0.0, 1.0)
scat_df.head(10)
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.85 | 84.0 | 1.125 | 82.4 | 1.060105 | 1900-01-01 17:56:41 | 1.651707 | 1.621480 | 1.636594 | 1.456274 |
| 1 | 1.85 | 84.0 | 1.125 | 80.8 | 0.834277 | 1900-01-01 17:58:10 | 2.085987 | 2.014917 | 2.050452 | 2.945972 |
| 2 | 1.85 | 84.0 | 1.125 | 86.4 | 0.607973 | 1900-01-01 17:59:38 | 0.913230 | 0.914242 | 0.913736 | 2.472021 |
| 3 | 1.85 | 84.0 | 1.125 | 85.6 | 0.728236 | 1900-01-01 18:01:06 | 0.981404 | 0.958251 | 0.969827 | 1.828735 |
| 4 | 1.85 | 84.0 | 1.125 | 80.0 | 0.566797 | 1900-01-01 18:02:39 | 2.408469 | 2.327947 | 2.368208 | 7.371643 |
| 5 | 1.85 | 84.0 | 1.125 | 84.0 | 0.939389 | 1900-01-01 18:04:24 | 1.294236 | 1.238496 | 1.266366 | 1.435053 |
| 6 | 1.85 | 84.0 | 1.125 | 81.6 | 0.777422 | 1900-01-01 18:06:11 | 1.871894 | 1.779275 | 1.825585 | 3.020563 |
| 7 | 1.85 | 84.0 | 1.125 | 83.2 | 1.066557 | 1900-01-01 18:07:59 | 1.400588 | 1.371377 | 1.385982 | 1.218399 |
| 8 | 1.85 | 84.0 | 1.125 | 88.0 | 0.145580 | 1900-01-01 18:09:42 | 0.950028 | 0.230033 | 0.590030 | 27.840249 |
| 9 | 1.85 | 84.0 | 1.125 | 87.2 | 0.503780 | 1900-01-01 18:11:29 | 0.880922 | 0.884991 | 0.882956 | 3.479020 |
scat_df.tail(10)
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 1.85 | 84.0 | 1.85 | 80.8 | 0.701278 | 1900-01-01 21:05:09 | 1.532028 | 0.903196 | 1.217612 | 2.475871 |
| 112 | 1.85 | 84.0 | 1.85 | 86.4 | 0.637039 | 1900-01-01 21:06:37 | 0.865055 | 0.877758 | 0.871406 | 2.147282 |
| 113 | 1.85 | 84.0 | 1.85 | 85.6 | 0.809052 | 1900-01-01 21:08:04 | 0.913318 | 0.862315 | 0.887817 | 1.356345 |
| 114 | 1.85 | 84.0 | 1.85 | 80.0 | 0.370453 | 1900-01-01 21:09:50 | 1.760017 | 0.904101 | 1.332059 | 9.706361 |
| 115 | 1.85 | 84.0 | 1.85 | 84.0 | 0.967908 | 1900-01-01 21:11:36 | 1.019432 | 1.003478 | 1.011455 | 1.079639 |
| 116 | 1.85 | 84.0 | 1.85 | 81.6 | 0.661591 | 1900-01-01 21:13:13 | 1.344940 | -0.131274 | 0.606833 | 1.386405 |
| 117 | 1.85 | 84.0 | 1.85 | 83.2 | 1.039424 | 1900-01-01 21:14:41 | 1.094836 | 1.065198 | 1.080017 | 0.999644 |
| 118 | 1.85 | 84.0 | 1.85 | 88.0 | 0.793274 | 1900-01-01 21:16:08 | 15.370847 | -0.021756 | 7.674545 | 12.195684 |
| 119 | 1.85 | 84.0 | 1.85 | 87.2 | 0.539399 | 1900-01-01 21:17:36 | 0.916980 | 0.863904 | 0.890442 | 3.060445 |
| 120 | 1.85 | 84.0 | 1.85 | 84.8 | 0.854043 | 1900-01-01 21:19:03 | 0.934381 | 0.929620 | 0.932000 | 1.277782 |
scat_df[scat_df['pd2'] = 88.0]
Cell In[85], line 1 scat_df[scat_df['pd2'] = 88.0] ^ SyntaxError: cannot assign to subscript here. Maybe you meant '==' instead of '='?
scat_df[scat_df['pd2'] == 88.0]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 8 | 1.85 | 84.0 | 1.125 | 88.0 | 0.145580 | 1900-01-01 18:09:42 | 0.950028 | 0.230033 | 0.590030 | 27.840249 |
| 19 | 1.85 | 84.0 | 0.690 | 88.0 | 0.280564 | 1900-01-01 18:29:14 | 0.947641 | 1.006793 | 0.977217 | 12.414471 |
| 30 | 1.85 | 84.0 | 1.705 | 88.0 | 0.548962 | 1900-01-01 18:48:12 | 1.031905 | -41.445694 | -20.206895 | -67.052444 |
| 41 | 1.85 | 84.0 | 0.400 | 88.0 | 0.252895 | 1900-01-01 19:07:58 | 1.065684 | 1.104443 | 1.085063 | 16.965781 |
| 52 | 1.85 | 84.0 | 0.980 | 88.0 | 0.340896 | 1900-01-01 19:27:24 | 0.936462 | 1.068601 | 1.002531 | 8.626903 |
| 63 | 1.85 | 84.0 | 0.835 | 88.0 | NaN | 1900-01-01 19:47:08 | 0.924823 | 1.048797 | 0.986810 | -9.977041 |
| 74 | 1.85 | 84.0 | 1.415 | 88.0 | NaN | 1900-01-01 20:06:28 | 1.581415 | 0.570952 | 1.076184 | -79.685872 |
| 85 | 1.85 | 84.0 | 0.545 | 88.0 | 0.243643 | 1900-01-01 20:22:32 | 0.963920 | 1.043803 | 1.003861 | 16.910930 |
| 96 | 1.85 | 84.0 | 1.270 | 88.0 | 0.877267 | 1900-01-01 20:40:50 | 0.914396 | 0.330400 | 0.622398 | 0.808731 |
| 107 | 1.85 | 84.0 | 1.560 | 88.0 | 0.227863 | 1900-01-01 20:59:12 | 4.086833 | 0.305328 | 2.196081 | 42.296172 |
| 118 | 1.85 | 84.0 | 1.850 | 88.0 | 0.793274 | 1900-01-01 21:16:08 | 15.370847 | -0.021756 | 7.674545 | 12.195684 |
scat_df[scat_df['pd2'] < 88.0]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.85 | 84.0 | 1.125 | 82.4 | 1.060105 | 1900-01-01 17:56:41 | 1.651707 | 1.621480 | 1.636594 | 1.456274 |
| 1 | 1.85 | 84.0 | 1.125 | 80.8 | 0.834277 | 1900-01-01 17:58:10 | 2.085987 | 2.014917 | 2.050452 | 2.945972 |
| 2 | 1.85 | 84.0 | 1.125 | 86.4 | 0.607973 | 1900-01-01 17:59:38 | 0.913230 | 0.914242 | 0.913736 | 2.472021 |
| 3 | 1.85 | 84.0 | 1.125 | 85.6 | 0.728236 | 1900-01-01 18:01:06 | 0.981404 | 0.958251 | 0.969827 | 1.828735 |
| 4 | 1.85 | 84.0 | 1.125 | 80.0 | 0.566797 | 1900-01-01 18:02:39 | 2.408469 | 2.327947 | 2.368208 | 7.371643 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 115 | 1.85 | 84.0 | 1.850 | 84.0 | 0.967908 | 1900-01-01 21:11:36 | 1.019432 | 1.003478 | 1.011455 | 1.079639 |
| 116 | 1.85 | 84.0 | 1.850 | 81.6 | 0.661591 | 1900-01-01 21:13:13 | 1.344940 | -0.131274 | 0.606833 | 1.386405 |
| 117 | 1.85 | 84.0 | 1.850 | 83.2 | 1.039424 | 1900-01-01 21:14:41 | 1.094836 | 1.065198 | 1.080017 | 0.999644 |
| 119 | 1.85 | 84.0 | 1.850 | 87.2 | 0.539399 | 1900-01-01 21:17:36 | 0.916980 | 0.863904 | 0.890442 | 3.060445 |
| 120 | 1.85 | 84.0 | 1.850 | 84.8 | 0.854043 | 1900-01-01 21:19:03 | 0.934381 | 0.929620 | 0.932000 | 1.277782 |
110 rows × 10 columns
scat_df[scat_df['pd2'] == 81.6]
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 6 | 1.85 | 84.0 | 1.125 | 81.6 | 0.777422 | 1900-01-01 18:06:11 | 1.871894 | 1.779275 | 1.825585 | 3.020563 |
| 17 | 1.85 | 84.0 | 0.690 | 81.6 | 0.467613 | 1900-01-01 18:25:41 | 2.601037 | 2.552349 | 2.576693 | 11.783930 |
| 28 | 1.85 | 84.0 | 1.705 | 81.6 | 1.217380 | 1900-01-01 18:44:38 | 1.418993 | 1.343861 | 1.381427 | 0.932129 |
| 39 | 1.85 | 84.0 | 0.400 | 81.6 | 0.636457 | 1900-01-01 19:04:25 | 4.012403 | 3.708037 | 3.860220 | 9.529576 |
| 50 | 1.85 | 84.0 | 0.980 | 81.6 | 1.049111 | 1900-01-01 19:23:58 | 2.136278 | 1.904376 | 2.020327 | 1.835601 |
| 61 | 1.85 | 84.0 | 0.835 | 81.6 | 1.052341 | 1900-01-01 19:43:34 | 2.295847 | 2.162626 | 2.229236 | 2.012995 |
| 72 | 1.85 | 84.0 | 1.415 | 81.6 | 0.878307 | 1900-01-01 20:03:16 | 1.576514 | 1.502483 | 1.539499 | 1.995660 |
| 83 | 1.85 | 84.0 | 0.545 | 81.6 | 0.815092 | 1900-01-01 20:19:35 | 2.968036 | 2.746715 | 2.857376 | 4.300845 |
| 94 | 1.85 | 84.0 | 1.270 | 81.6 | 1.248490 | 1900-01-01 20:37:26 | 1.706670 | 1.608603 | 1.657636 | 1.063454 |
| 105 | 1.85 | 84.0 | 1.560 | 81.6 | 0.949846 | 1900-01-01 20:55:47 | 1.476523 | 1.427885 | 1.452204 | 1.609611 |
| 116 | 1.85 | 84.0 | 1.850 | 81.6 | 0.661591 | 1900-01-01 21:13:13 | 1.344940 | -0.131274 | 0.606833 | 1.386405 |
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_row(run_path_couple):
run_path1, run_path2 = run_path_couple
# run_path1 = os.path.join(data_folder, run_folder1)
# run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
return extracted_values
def get_rel_scattering_df(data_folder, parallel=False, **kwargs):
listdir = sorted(os.listdir(data_folder))
run_path_couple_arr = [[os.path.join(data_folder,run_folder1),os.path.join(data_folder,run_folder2)] in [listdir[i:i+2] for i in range(len(listdir))[::2]]]
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_rel_scattering_row, **kwargs), run_path_couple_arr), total=len(run_path_couple_arr)))
try:
for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict = {}
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict['scat_ratio1'] = scat_ratio1
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
resultDict['scat_ratio2'] = 1/scat_ratio2
#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
#scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
scat_ratio_avg = scat_ratio1
resultDict['scat_ratio_avg'] = scat_ratio_avg
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
resultDict['Rratio'] = Rratio
#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, resultDict, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.tBaseline = 1
dh1.tCATbackground = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.setOffset()
#dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.tBaseline = dh1.tReload + dh1.timeReload
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=True)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
Cell In[89], line 568 scat_ratio_avg = scat_ratio1 ^ TabError: inconsistent use of tabs and spaces in indentation
import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm
import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'
from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *
PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')
# TODO: maybe make a run analysis class out of this?
def dump():
fig, ax = plt.subplots()
plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))
collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
#*-----------------------
#* SINGLE RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
data = df.dropna()
freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
fig, ax = plt.subplots()
plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],
s=0.1, save_folder=MEASURE_FOLDER,
mfc='red', color='black',
title='Trap Depth = 1.99 K')
# *-----------------------
# * MULTIPLE RUN COMPARISON
# *-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]
colors = ['red', 'dodgerblue', 'green', 'grey']
max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:3]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
color = colors[i]
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)
#*-----------------------
#* PARSING WAVEMETER DATA
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
data = freq_data[:]
levels = staircase_fit(data)
data = get_data_frame(MEASURE_FOLDER)
data.dropna(inplace=True)
freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
plt.plot(freqs)
#*-----------------------
#* GETTING DEPTH_RATIO DATAFRAME
#*-----------------------
MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
x = df_slice['pa2']
y = df_slice['depth_ratio']
plt.plot(x,y, 'o')
#*-----------------------
#* MEGA_RUN
#*-----------------------
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)
df_grouped = df.groupby(by='pump_reference')
min_ratios = df_grouped['ratio'].min()
groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]
max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq) in enumerate(zipped_data[:]):
data = df.dropna()
freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)
plt.legend()
plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
#*-----------------------
#* MULTIPLE MEGARUN
#*-----------------------
folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]
dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]
groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
dfs = [ [df for df in groups.values()] for groups in groupss]
for row in dfs:
x = [df['pump_reference'].mean() for df in row]
y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
plt.xlabel('Pump Amplitude')
plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
plt.legend()
def freq_misc():
WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
freq_data = add_wavemeter_data('', WDATA_FOLDER)
levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1)
plt.close()
x = np.linspace(0, 4.9, 25)
y = levels
plt.plot(levels, '-o')
plt.title('Levels plot')
m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dataHost = MTdataHost(SAMPLE_RATE)
dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
dataHost.CATbackgroundData(bkfilename)
dataHost.setAllCAT(0.002)
resultDict = dataHost.getResults(run_path, store=True)
if plot:
dataHost.storeFits(run_path, combined=True, separate=True)
return resultDict, dataHost.settings
def get_timestamp(run_path):
timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
return timestamp
def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
"""Gather relevant data from each measurement run
Args:
run_path : absolute path to the run directory
plot (bool, optional): plot fits. Defaults to True.
cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.
Returns:
a 3-tuple (fit_results, settings, timestamp)
"""
fit_results, settings, timestamp = {}, {}, None
if not os.path.isdir(run_path):
return fit_results, settings, timestamp # directory is not a run directory
try:
timestamp = get_timestamp(run_path)
# TODO: specify which error to catch
except Exception as e:
print("Error extracting timestamp from: ", run_path)
print(traceback.format_exc())
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
if not cache_failed:
# fit regardless of cached result
try:
fit_results, settings = save_fit_results(run_path, plot=plot)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
settingsname = os.path.join(run_path, 'Settings.txt')
settings = eval(open(settingsname, 'r').read())
return fit_results, settings, timestamp
def get_row(run_path, **kwargs):
fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
row = {**fit_results, **settings, **{'timestamp':timestamp}}
return row
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
run_path_arr = []
rows = []
for relative_path in os.listdir(data_dir):
run_path_arr.append(os.path.join(data_dir, relative_path))
if in_process_run:
run_path_arr.pop()
run_path_arr = sorted(run_path_arr)
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
else:
for run_path in tqdm(run_path_arr):
rows.append(get_row(run_path, **kwargs))
return pd.DataFrame.from_dict(rows)
def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):
"""Extract unique frequnecy values from wavemeter data
Returns:
unique_levels (list): unique frequency values in wavemeter data
"""
# TODO: modify dataframe in place with frequency data
wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
wdata.dropna(inplace=True)
freq_data = np.array(wdata.iloc[:, 0])
try:
freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
except Exception as e:
print(e)
max_freq = freq_data.max()
min_freq = freq_data.min()
return freq_data, max_freq, min_freq
def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
FREQVSVOLT = 221.0
FREQVSCURR = 1.13
if not type(dfs) == list:
freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
dfs=[dfs]
plt.gcf().set_dpi(300)
for df in dfs:
df = df.dropna()
ax.errorbar(freqs,
df['ratio']*yscale,
yerr=df['ratioErr'],
fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
return freqs, ax
#return plt.gca(), plt.gcf()
#plt.show()
def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
from scipy.interpolate import splev, splrep
xnew = np.linspace(min(x), max(x), 3*len(x) )
y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
if yerr is not None:
yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
x = sorted(x)
spl = splrep(x, y, s=s)
ynew = splev(xnew, spl)
plt.gcf().set_dpi(dpi)
plt.gcf().set_size_inches(figsize)
if yerr is not None:
ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
else:
ax.plot(x,y, 'o', **kwargs)
ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
ax.set_title(title, **titledict)
if save_folder:
plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
return ax
def plot_polyfit(x_data, y_data, spline_degree):
coefficients = np.polyfit(x_data, y_data, spline_degree)
x_interp = np.linspace(min(x_data), max(x_data), 100)
y_interp = np.polyval(coefficients, x_interp)
plt.scatter(x_data, y_data, label='Original Data')
plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))
def collect_plots(source, destination, plot_name):
print(f'Collecting plots from {os.path.basename(source)}')
import shutil
os.makedirs(destination, exist_ok=True)
plot_files = []
for root, dirs, files in os.walk(source):
for file in files:
if file == plot_name:
plot_files.append(os.path.join(root, file))
for i, plot_file in enumerate(plot_files, start=0):
new_filename = f'{i}{plot_name}'
destination_path = os.path.join(destination, new_filename)
shutil.copy(plot_file, destination_path)
def create_GIF(images_folder, image_name):
import imageio
with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
for filename in os.listdir(images_folder):
if image_name in filename:
image = imageio.imread(os.path.join(images_folder, filename))
writer.append_data(image)
def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
def moving_average(arr, window_size):
weights = np.ones(window_size) / window_size
return np.convolve(arr, weights, mode='valid')
convdata1 = moving_average(data, window_size)
convdata2 = moving_average(data[data_offset+1:], window_size )
final = convdata1[:len(convdata2)]-convdata2
# plt.plot(data)
# plt.plot(convdata1)
# plt.plot(convdata2)
# plt.show()
# plt.plot(final)
from scipy.signal import find_peaks
x= final
peaks, _ = find_peaks(x, height=peak_height, distance=distance)
peaks = np.insert(peaks, 0, 0)
levels = []
plot_arr = []
for i, peak in enumerate(peaks):
if i < len(peaks) - 1:
temp = data[ peaks[i]:peaks[i+1] ]
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
levels.append(np.mean(temp))
if inc_final_peak:
temp = data[peaks[-1]:]
levels.append(np.mean(temp))
plot_arr.extend( np.ones_like(temp)*np.mean(temp))
plt.plot(x)
plt.plot(peaks, x[peaks], "x")
plt.plot(np.zeros_like(x), "--", color="gray")
plt.show()
plt.plot(data)
plt.plot(np.ravel((plot_arr)))
plt.show()
plt.close()
plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
return levels
def load_single_run(run_path):
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
return dh1
# *-----------------------
# *RELATIVE SCATTERING RATE
# *-----------------------
def get_rel_scattering_row(run_path_couple):
run_path1, run_path2 = run_path_couple
# run_path1 = os.path.join(data_folder, run_folder1)
# run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
return extracted_values
def get_rel_scattering_df(data_folder, parallel=False, **kwargs):
listdir = sorted(os.listdir(data_folder))
run_path_couple_arr = [[os.path.join(data_folder,run_folder1),os.path.join(data_folder,run_folder2)] in [listdir[i:i+2] for i in range(len(listdir))[::2]]]
if parallel:
with Pool(4) as p:
rows = list(tqdm(p.imap(partial(get_rel_scattering_row, **kwargs), run_path_couple_arr), total=len(run_path_couple_arr)))
try:
for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
try:
run_path1 = os.path.join(data_folder, run_folder1)
run_path2 = os.path.join(data_folder, run_folder2)
result = {}
with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
settings = f.read()
import re
pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'
matches = re.findall(pattern, settings)
for match in matches:
key = match[0]
value1 = float(match[1])
value2 = float(match[2])
result[key] = (value1, value2)
#print(result)
with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
pass
#print(f.readlines())
timestamp = get_timestamp(run_path1)
fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
extracted_values = {
'pa1': result['pd1'][0],
'pd1': result['pd1'][1],
'pa2': result['pd2'][0],
'pd2': result['pd2'][1],
'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
'timestamp': timestamp,
**fit_results
}
depth_ratios_df.append(extracted_values)
print('\n')
except Exception as e:
print(traceback.format_exc())
print(f'Error {e} at {run_folder1, run_folder2}')
except Exception as e:
print(f'Error {e}')
depth_ratios_df = pd.DataFrame(depth_ratios_df)
return depth_ratios_df
def get_rel_scattering(run_path1, run_path2):
resultDict = {}
resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
resultDict['scat_ratio1'] = scat_ratio1
resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
resultDict['scat_ratio2'] = 1/scat_ratio2
#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
#scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
scat_ratio_avg = scat_ratio1
resultDict['scat_ratio_avg'] = scat_ratio_avg
Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
resultDict['Rratio'] = Rratio
#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
depthRatio = np.sqrt(Rratio/scat_ratio_avg)
return resultDict1, resultDict2, resultDict, depthRatio
def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
filename = os.path.join(run_path, 'data.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
fit_results = {}
if not os.path.exists(MAT_fit_cache_path) or not cache_all:
try:
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.tBaseline = 1
dh1.tCATbackground = 1
dh1.tLoad = 2
dh1.timeLoad = 30
dh1.tReload = dh1.tLoad + dh1.timeLoad
dh1.timeReload = 1
dh1.setOffset()
#dh1.tCATbackground = dh1.tReload + dh1.timeReload
dh1.tBaseline = dh1.tReload + dh1.timeReload
#dh1.setCATtiming()
dh1.setAllCAT(0.002)
print('FITTINGGGGGGGGGGGG')
fit_results = dh1.getResults(run_path, store=True)
if plot:
dh1.storeFits(run_path, combined=True, separate=True)
except Exception as e:
print(traceback.format_exc())
print("Fitting ERROR at ", os.path.basename(run_path), '\n')
with open(MAT_fit_cache_path, 'w') as f:
f.write(str('MAT fit failed'))
else:
print("Accessing cached results from :", os.path.basename(run_path))
fit_results = open(MAT_fit_cache_path, 'r').read()
if fit_results == 'MAT fit failed':
print("Failed fit at :", os.path.basename(run_path))
fit_results = {}
else:
fit_results = eval(open(MAT_fit_cache_path, 'r').read())
#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
fit_results['scat_ratio'] = scat_ratio
#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
return fit_results, scat_ratio
def scat_rate(I, delta, gamma=6.065, Is=1.669):
"""_summary_
Args:
I (float): intensity (Mhz)
delta (float): detuning (Mhz)
gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.
Returns:
_type_: gamma: the scattering rate
"""
return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))
if __name__ == '__main__':
run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')
dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
#dh1.CATbackgroundData(bkfilename)
dh1.setAllCAT(0.002)
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
scat_df['pd2'].unique()
array([82.4, 80.8, 86.4, 85.6, 80. , 84. , 81.6, 83.2, 88. , 87.2, 84.8])
scat_df[scat_df['pd2'] == 87.2].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 42 | 1.85 | 84.0 | 0.400 | 87.2 | 0.347353 | 1900-01-01 19:09:45 | 1.174920 | 1.171009 | 1.172965 | 9.721695 |
| 86 | 1.85 | 84.0 | 0.545 | 87.2 | 0.442833 | 1900-01-01 20:24:04 | 1.019451 | 1.044619 | 1.032035 | 5.262776 |
| 20 | 1.85 | 84.0 | 0.690 | 87.2 | 0.427939 | 1900-01-01 18:30:58 | 0.963702 | 0.977641 | 0.970672 | 5.300407 |
| 64 | 1.85 | 84.0 | 0.835 | 87.2 | 0.438320 | 1900-01-01 19:48:55 | 0.915368 | 0.916960 | 0.916164 | 4.768597 |
| 53 | 1.85 | 84.0 | 0.980 | 87.2 | 0.460413 | 1900-01-01 19:29:10 | 0.895090 | 0.895015 | 0.895053 | 4.222342 |
| 9 | 1.85 | 84.0 | 1.125 | 87.2 | 0.503780 | 1900-01-01 18:11:29 | 0.880922 | 0.884991 | 0.882956 | 3.479020 |
| 97 | 1.85 | 84.0 | 1.270 | 87.2 | 0.508204 | 1900-01-01 20:42:28 | 0.881955 | 0.878685 | 0.880320 | 3.408510 |
| 75 | 1.85 | 84.0 | 1.415 | 87.2 | 0.447452 | 1900-01-01 20:07:55 | 0.525650 | 0.897981 | 0.711815 | 3.555288 |
| 108 | 1.85 | 84.0 | 1.560 | 87.2 | 0.438677 | 1900-01-01 21:00:42 | 0.671617 | 0.791841 | 0.731729 | 3.802428 |
| 31 | 1.85 | 84.0 | 1.705 | 87.2 | 0.457147 | 1900-01-01 18:50:01 | 0.894374 | 0.770456 | 0.832415 | 3.983172 |
| 119 | 1.85 | 84.0 | 1.850 | 87.2 | 0.539399 | 1900-01-01 21:17:36 | 0.916980 | 0.863904 | 0.890442 | 3.060445 |
Is = np.linspace(0, 16, 50)
plt.plot(Is, scat_rate(Is, -6, Is=3.576), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12, Is=3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b127577490>
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -6, Is=3.576), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12, Is=3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b128d39450>
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -6), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b125766bd0>
scat_df[scat_df['pd2'] == 86.4].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 35 | 1.85 | 84.0 | 0.400 | 86.4 | 0.511844 | 1900-01-01 18:57:09 | 1.367766 | 1.359027 | 1.363396 | 5.204108 |
| 79 | 1.85 | 84.0 | 0.545 | 86.4 | 0.525969 | 1900-01-01 20:13:44 | 1.182420 | 1.171467 | 1.176944 | 4.254363 |
| 13 | 1.85 | 84.0 | 0.690 | 86.4 | 0.559041 | 1900-01-01 18:18:33 | 1.061138 | 1.081053 | 1.071096 | 3.427210 |
| 57 | 1.85 | 84.0 | 0.835 | 86.4 | 0.586697 | 1900-01-01 19:36:19 | 0.985139 | 0.991166 | 0.988153 | 2.870754 |
| 46 | 1.85 | 84.0 | 0.980 | 86.4 | 0.614100 | 1900-01-01 19:16:53 | 0.943083 | 0.918116 | 0.930599 | 2.467659 |
| 2 | 1.85 | 84.0 | 1.125 | 86.4 | 0.607973 | 1900-01-01 17:59:38 | 0.913230 | 0.914242 | 0.913736 | 2.472021 |
| 90 | 1.85 | 84.0 | 1.270 | 86.4 | 0.624881 | 1900-01-01 20:30:22 | 0.882347 | 0.856888 | 0.869617 | 2.227069 |
| 68 | 1.85 | 84.0 | 1.415 | 86.4 | 0.554044 | 1900-01-01 19:56:07 | 0.373924 | 0.881605 | 0.627764 | 2.045072 |
| 101 | 1.85 | 84.0 | 1.560 | 86.4 | 0.631545 | 1900-01-01 20:49:00 | 0.860806 | 0.840612 | 0.850709 | 2.132907 |
| 24 | 1.85 | 84.0 | 1.705 | 86.4 | 0.640179 | 1900-01-01 18:37:28 | 0.889485 | 0.854718 | 0.872102 | 2.127965 |
| 112 | 1.85 | 84.0 | 1.850 | 86.4 | 0.637039 | 1900-01-01 21:06:37 | 0.865055 | 0.877758 | 0.871406 | 2.147282 |
scat_df[scat_df['pd2'] == 85.6].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 36 | 1.85 | 84.0 | 0.400 | 85.6 | 0.539871 | 1900-01-01 18:58:58 | 1.752941 | 1.686216 | 1.719579 | 5.899866 |
| 80 | 1.85 | 84.0 | 0.545 | 85.6 | 0.624180 | 1900-01-01 20:15:12 | 1.398177 | 1.370896 | 1.384537 | 3.553737 |
| 14 | 1.85 | 84.0 | 0.690 | 85.6 | 0.685161 | 1900-01-01 18:20:18 | 1.251750 | 1.253575 | 1.252663 | 2.668386 |
| 58 | 1.85 | 84.0 | 0.835 | 85.6 | 0.692262 | 1900-01-01 19:38:05 | 1.128834 | 1.088018 | 1.108426 | 2.312950 |
| 47 | 1.85 | 84.0 | 0.980 | 85.6 | 0.734132 | 1900-01-01 19:18:39 | 1.042219 | 1.026641 | 1.034430 | 1.919346 |
| 3 | 1.85 | 84.0 | 1.125 | 85.6 | 0.728236 | 1900-01-01 18:01:06 | 0.981404 | 0.958251 | 0.969827 | 1.828735 |
| 91 | 1.85 | 84.0 | 1.270 | 85.6 | 0.834622 | 1900-01-01 20:32:12 | 0.939187 | 0.925800 | 0.932494 | 1.338648 |
| 69 | 1.85 | 84.0 | 1.415 | 85.6 | 0.805686 | 1900-01-01 19:57:56 | 0.911669 | 0.904064 | 0.907867 | 1.398590 |
| 102 | 1.85 | 84.0 | 1.560 | 85.6 | 0.656743 | 1900-01-01 20:50:43 | 0.902292 | 0.359060 | 0.630676 | 1.462230 |
| 25 | 1.85 | 84.0 | 1.705 | 85.6 | 0.778898 | 1900-01-01 18:39:14 | 0.932598 | 0.854709 | 0.893653 | 1.473016 |
| 113 | 1.85 | 84.0 | 1.850 | 85.6 | 0.809052 | 1900-01-01 21:08:04 | 0.913318 | 0.862315 | 0.887817 | 1.356345 |
scat_df[scat_df['pd2'] == 84.8].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 43 | 1.85 | 84.0 | 0.400 | 84.8 | 0.658808 | 1900-01-01 19:11:33 | 2.101544 | 1.934226 | 2.017885 | 4.649210 |
| 87 | 1.85 | 84.0 | 0.545 | 84.8 | 0.774275 | 1900-01-01 20:25:34 | 1.691370 | 1.630339 | 1.660855 | 2.770394 |
| 21 | 1.85 | 84.0 | 0.690 | 84.8 | 0.745315 | 1900-01-01 18:32:43 | 1.435244 | 1.435098 | 1.435171 | 2.583589 |
| 65 | 1.85 | 84.0 | 0.835 | 84.8 | 0.845951 | 1900-01-01 19:50:43 | 1.283336 | 1.256286 | 1.269811 | 1.774390 |
| 54 | 1.85 | 84.0 | 0.980 | 84.8 | 0.840807 | 1900-01-01 19:30:56 | 1.218582 | 1.155378 | 1.186980 | 1.679000 |
| 10 | 1.85 | 84.0 | 1.125 | 84.8 | 0.868733 | 1900-01-01 18:13:17 | 1.110531 | 1.112590 | 1.111561 | 1.472857 |
| 98 | 1.85 | 84.0 | 1.270 | 84.8 | 0.890098 | 1900-01-01 20:44:02 | 1.045075 | 1.050292 | 1.047684 | 1.322376 |
| 76 | 1.85 | 84.0 | 1.415 | 84.8 | 0.908164 | 1900-01-01 20:09:22 | 1.004774 | 0.987227 | 0.996000 | 1.207623 |
| 109 | 1.85 | 84.0 | 1.560 | 84.8 | 0.944827 | 1900-01-01 21:02:12 | 0.980162 | 0.974027 | 0.977094 | 1.094540 |
| 32 | 1.85 | 84.0 | 1.705 | 84.8 | 0.899708 | 1900-01-01 18:51:46 | 0.941765 | 0.928847 | 0.935306 | 1.155449 |
| 120 | 1.85 | 84.0 | 1.850 | 84.8 | 0.854043 | 1900-01-01 21:19:03 | 0.934381 | 0.929620 | 0.932000 | 1.277782 |
scat_df[scat_df['pd2'] == 84.0].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 38 | 1.85 | 84.0 | 0.400 | 84.0 | 0.702123 | 1900-01-01 19:02:37 | 2.477427 | 2.327093 | 2.402260 | 4.872973 |
| 82 | 1.85 | 84.0 | 0.545 | 84.0 | 0.771320 | 1900-01-01 20:18:07 | 1.996017 | 1.892431 | 1.944224 | 3.267966 |
| 16 | 1.85 | 84.0 | 0.690 | 84.0 | 0.816019 | 1900-01-01 18:23:50 | 1.748755 | 1.755527 | 1.752141 | 2.631288 |
| 60 | 1.85 | 84.0 | 0.835 | 84.0 | 0.844290 | 1900-01-01 19:41:43 | 1.543287 | 1.515176 | 1.529232 | 2.145310 |
| 49 | 1.85 | 84.0 | 0.980 | 84.0 | 0.905646 | 1900-01-01 19:22:11 | 1.364308 | 1.310180 | 1.337244 | 1.630399 |
| 5 | 1.85 | 84.0 | 1.125 | 84.0 | 0.939389 | 1900-01-01 18:04:24 | 1.294236 | 1.238496 | 1.266366 | 1.435053 |
| 93 | 1.85 | 84.0 | 1.270 | 84.0 | 0.957234 | 1900-01-01 20:35:41 | 1.221736 | 1.171878 | 1.196807 | 1.306135 |
| 71 | 1.85 | 84.0 | 1.415 | 84.0 | 1.006276 | 1900-01-01 20:01:27 | 1.131507 | 1.076286 | 1.103897 | 1.090169 |
| 104 | 1.85 | 84.0 | 1.560 | 84.0 | 0.969718 | 1900-01-01 20:54:03 | 1.081414 | 1.022307 | 1.051861 | 1.118580 |
| 27 | 1.85 | 84.0 | 1.705 | 84.0 | 0.995999 | 1900-01-01 18:42:50 | 1.034659 | 1.020822 | 1.027741 | 1.036015 |
| 115 | 1.85 | 84.0 | 1.850 | 84.0 | 0.967908 | 1900-01-01 21:11:36 | 1.019432 | 1.003478 | 1.011455 | 1.079639 |
scat_df[scat_df['pd2'] == 83.2].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 1.85 | 84.0 | 0.400 | 83.2 | 0.785396 | 1900-01-01 19:06:09 | 2.935946 | 2.696489 | 2.816218 | 4.565502 |
| 84 | 1.85 | 84.0 | 0.545 | 83.2 | 0.768479 | 1900-01-01 20:21:02 | 2.238408 | 2.160022 | 2.199215 | 3.723949 |
| 18 | 1.85 | 84.0 | 0.690 | 83.2 | 0.895618 | 1900-01-01 18:27:30 | 1.941086 | 1.954661 | 1.947873 | 2.428369 |
| 62 | 1.85 | 84.0 | 0.835 | 83.2 | 0.885332 | 1900-01-01 19:45:18 | 1.747427 | 1.730530 | 1.738979 | 2.218617 |
| 51 | 1.85 | 84.0 | 0.980 | 83.2 | 0.933890 | 1900-01-01 19:25:42 | 1.571625 | 1.489480 | 1.530553 | 1.754918 |
| 7 | 1.85 | 84.0 | 1.125 | 83.2 | 1.066557 | 1900-01-01 18:07:59 | 1.400588 | 1.371377 | 1.385982 | 1.218399 |
| 95 | 1.85 | 84.0 | 1.270 | 83.2 | 1.079691 | 1900-01-01 20:39:08 | 1.291910 | 1.254071 | 1.272991 | 1.092009 |
| 73 | 1.85 | 84.0 | 1.415 | 83.2 | 1.086728 | 1900-01-01 20:05:01 | 1.225772 | 1.195323 | 1.210547 | 1.025038 |
| 106 | 1.85 | 84.0 | 1.560 | 83.2 | 1.081401 | 1900-01-01 20:57:31 | 1.191620 | 1.148623 | 1.170121 | 1.000593 |
| 29 | 1.85 | 84.0 | 1.705 | 83.2 | 1.081760 | 1900-01-01 18:46:25 | 1.115233 | 1.099144 | 1.107188 | 0.946149 |
| 117 | 1.85 | 84.0 | 1.850 | 83.2 | 1.039424 | 1900-01-01 21:14:41 | 1.094836 | 1.065198 | 1.080017 | 0.999644 |
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -13.6), label=fr'$\delta = {-13.6}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b12588c250>
scat_df[scat_df['pd2'] == 82.4].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 33 | 1.85 | 84.0 | 0.400 | 82.4 | 0.675392 | 1900-01-01 18:53:31 | 3.367520 | 3.034449 | 3.200984 | 7.017337 |
| 77 | 1.85 | 84.0 | 0.545 | 82.4 | 0.693091 | 1900-01-01 20:10:49 | 2.585176 | 2.419364 | 2.502270 | 5.208986 |
| 11 | 1.85 | 84.0 | 0.690 | 82.4 | 0.992036 | 1900-01-01 18:15:02 | 2.319206 | 2.136323 | 2.227764 | 2.263677 |
| 55 | 1.85 | 84.0 | 0.835 | 82.4 | 0.943165 | 1900-01-01 19:32:43 | 1.983927 | 1.833870 | 1.908898 | 2.145892 |
| 44 | 1.85 | 84.0 | 0.980 | 82.4 | 0.977818 | 1900-01-01 19:13:21 | 1.810422 | 1.786704 | 1.798563 | 1.881091 |
| 0 | 1.85 | 84.0 | 1.125 | 82.4 | 1.060105 | 1900-01-01 17:56:41 | 1.651707 | 1.621480 | 1.636594 | 1.456274 |
| 88 | 1.85 | 84.0 | 1.270 | 82.4 | 1.063839 | 1900-01-01 20:27:05 | 1.539812 | 1.470934 | 1.505373 | 1.330123 |
| 66 | 1.85 | 84.0 | 1.415 | 82.4 | 1.141788 | 1900-01-01 19:52:32 | 1.391204 | 1.401317 | 1.396261 | 1.071015 |
| 99 | 1.85 | 84.0 | 1.560 | 82.4 | 1.087417 | 1900-01-01 20:45:40 | 1.332712 | 1.295215 | 1.313963 | 1.111198 |
| 22 | 1.85 | 84.0 | 1.705 | 82.4 | 1.109187 | 1900-01-01 18:34:17 | 1.283968 | 1.233511 | 1.258739 | 1.023120 |
| 110 | 1.85 | 84.0 | 1.850 | 82.4 | 1.014503 | 1900-01-01 21:03:41 | 1.229280 | 1.162525 | 1.195902 | 1.161955 |
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -15.2), label=fr'$\delta = {-15.2}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b1285abf90>
scat_df[scat_df['pd2'] == 81.6].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 39 | 1.85 | 84.0 | 0.400 | 81.6 | 0.636457 | 1900-01-01 19:04:25 | 4.012403 | 3.708037 | 3.860220 | 9.529576 |
| 83 | 1.85 | 84.0 | 0.545 | 81.6 | 0.815092 | 1900-01-01 20:19:35 | 2.968036 | 2.746715 | 2.857376 | 4.300845 |
| 17 | 1.85 | 84.0 | 0.690 | 81.6 | 0.467613 | 1900-01-01 18:25:41 | 2.601037 | 2.552349 | 2.576693 | 11.783930 |
| 61 | 1.85 | 84.0 | 0.835 | 81.6 | 1.052341 | 1900-01-01 19:43:34 | 2.295847 | 2.162626 | 2.229236 | 2.012995 |
| 50 | 1.85 | 84.0 | 0.980 | 81.6 | 1.049111 | 1900-01-01 19:23:58 | 2.136278 | 1.904376 | 2.020327 | 1.835601 |
| 6 | 1.85 | 84.0 | 1.125 | 81.6 | 0.777422 | 1900-01-01 18:06:11 | 1.871894 | 1.779275 | 1.825585 | 3.020563 |
| 94 | 1.85 | 84.0 | 1.270 | 81.6 | 1.248490 | 1900-01-01 20:37:26 | 1.706670 | 1.608603 | 1.657636 | 1.063454 |
| 72 | 1.85 | 84.0 | 1.415 | 81.6 | 0.878307 | 1900-01-01 20:03:16 | 1.576514 | 1.502483 | 1.539499 | 1.995660 |
| 105 | 1.85 | 84.0 | 1.560 | 81.6 | 0.949846 | 1900-01-01 20:55:47 | 1.476523 | 1.427885 | 1.452204 | 1.609611 |
| 28 | 1.85 | 84.0 | 1.705 | 81.6 | 1.217380 | 1900-01-01 18:44:38 | 1.418993 | 1.343861 | 1.381427 | 0.932129 |
| 116 | 1.85 | 84.0 | 1.850 | 81.6 | 0.661591 | 1900-01-01 21:13:13 | 1.344940 | -0.131274 | 0.606833 | 1.386405 |
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -16.8), label=fr'$\delta = {-16.8}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b126f47490>
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -18.4), label=fr'$\delta = {-18.4}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b126e59bd0>
scat_df[scat_df['pd2'] == 80.8].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 34 | 1.85 | 84.0 | 0.400 | 80.8 | 0.690276 | 1900-01-01 18:55:20 | 4.662485 | 4.455622 | 4.559054 | 9.568189 |
| 78 | 1.85 | 84.0 | 0.545 | 80.8 | 0.921376 | 1900-01-01 20:12:17 | 3.428010 | 3.151522 | 3.289766 | 3.875176 |
| 12 | 1.85 | 84.0 | 0.690 | 80.8 | NaN | 1900-01-01 18:16:49 | 2.957568 | 2.682171 | 2.819870 | -18.151483 |
| 56 | 1.85 | 84.0 | 0.835 | 80.8 | 0.836623 | 1900-01-01 19:34:31 | 2.566181 | 2.419181 | 2.492681 | 3.561288 |
| 45 | 1.85 | 84.0 | 0.980 | 80.8 | 1.094885 | 1900-01-01 19:15:07 | 2.287358 | 2.320767 | 2.304062 | 1.922016 |
| 1 | 1.85 | 84.0 | 1.125 | 80.8 | 0.834277 | 1900-01-01 17:58:10 | 2.085987 | 2.014917 | 2.050452 | 2.945972 |
| 89 | 1.85 | 84.0 | 1.270 | 80.8 | 0.686975 | 1900-01-01 20:28:39 | 1.898959 | 1.822330 | 1.860645 | 3.942587 |
| 67 | 1.85 | 84.0 | 1.415 | 80.8 | 0.979225 | 1900-01-01 19:54:20 | 1.767689 | 1.668228 | 1.717958 | 1.791626 |
| 100 | 1.85 | 84.0 | 1.560 | 80.8 | 0.758703 | 1900-01-01 20:47:19 | 1.675351 | 1.603392 | 1.639372 | 2.847956 |
| 23 | 1.85 | 84.0 | 1.705 | 80.8 | 0.794021 | 1900-01-01 18:35:45 | 1.573369 | 1.256980 | 1.415174 | 2.244638 |
| 111 | 1.85 | 84.0 | 1.850 | 80.8 | 0.701278 | 1900-01-01 21:05:09 | 1.532028 | 0.903196 | 1.217612 | 2.475871 |
scat_df[scat_df['pd2'] == 80.0].sort_values('pa2')
| pa1 | pd1 | pa2 | pd2 | depth_ratio | timestamp | scat_ratio1 | scat_ratio2 | scat_ratio_avg | Rratio | |
|---|---|---|---|---|---|---|---|---|---|---|
| 37 | 1.85 | 84.0 | 0.400 | 80.0 | 0.331972 | 1900-01-01 19:00:50 | 5.306803 | 3.835458 | 4.571131 | 41.478163 |
| 81 | 1.85 | 84.0 | 0.545 | 80.0 | 0.717299 | 1900-01-01 20:16:39 | 4.047118 | 3.348059 | 3.697588 | 7.186516 |
| 15 | 1.85 | 84.0 | 0.690 | 80.0 | 0.800722 | 1900-01-01 18:22:04 | 3.387196 | 3.061712 | 3.224454 | 5.029131 |
| 59 | 1.85 | 84.0 | 0.835 | 80.0 | 0.777615 | 1900-01-01 19:39:54 | 2.952769 | 2.673321 | 2.813045 | 4.652088 |
| 48 | 1.85 | 84.0 | 0.980 | 80.0 | 0.777911 | 1900-01-01 19:20:25 | 2.570514 | 2.109400 | 2.339957 | 3.866766 |
| 4 | 1.85 | 84.0 | 1.125 | 80.0 | 0.566797 | 1900-01-01 18:02:39 | 2.408469 | 2.327947 | 2.368208 | 7.371643 |
| 92 | 1.85 | 84.0 | 1.270 | 80.0 | 0.734950 | 1900-01-01 20:33:57 | 2.196384 | 2.158795 | 2.177589 | 4.031438 |
| 70 | 1.85 | 84.0 | 1.415 | 80.0 | 0.776538 | 1900-01-01 19:59:43 | 2.037439 | 1.911285 | 1.974362 | 3.274170 |
| 103 | 1.85 | 84.0 | 1.560 | 80.0 | 0.638328 | 1900-01-01 20:52:23 | 1.905388 | 1.832009 | 1.868699 | 4.586181 |
| 26 | 1.85 | 84.0 | 1.705 | 80.0 | 0.711072 | 1900-01-01 18:41:02 | 1.808846 | 1.669553 | 1.739200 | 3.439718 |
| 114 | 1.85 | 84.0 | 1.850 | 80.0 | 0.370453 | 1900-01-01 21:09:50 | 1.760017 | 0.904101 | 1.332059 | 9.706361 |
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -20.0), label=fr'$\delta = {-20.0}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b12608c250>
Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -20.0, 3.576), label=fr'$\delta = {-20.0}$ MHz')
plt.plot(Is, scat_rate(Is, -12, 3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()
<matplotlib.legend.Legend at 0x1b126b9c250>
import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import griddata
import lmfit
from lmfit.lineshapes import gaussian2d, lorentzian
npoints = 10000
np.random.seed(2021)
x = np.random.rand(npoints)*10 - 4
y = np.random.rand(npoints)*5 - 3
z = gaussian2d(x, y, amplitude=30, centerx=2, centery=-.5, sigmax=.6, sigmay=.8)
z += 2*(np.random.rand(*z.shape)-.5)
error = np.sqrt(z+1)